{"id":11633,"date":"2024-03-06T10:10:15","date_gmt":"2024-03-06T01:10:15","guid":{"rendered":"https:\/\/www.ecomottblog.com\/?p=11633"},"modified":"2024-03-06T11:02:43","modified_gmt":"2024-03-06T02:02:43","slug":"%e5%9b%ba%e4%bd%93%e7%b2%92%e5%ad%90%e3%81%be%e3%81%9f%e3%81%af%e6%b6%b2%e6%bb%b4%e3%82%92%e5%90%ab%e3%82%80%e5%b7%a5%e6%a5%ad%e7%94%a8%e7%94%bb%e5%83%8f%e3%81%ae%e3%82%bb%e3%82%b0%e3%83%a1%e3%83%b3","status":"publish","type":"post","link":"https:\/\/test.ecomottblog.com\/?p=11633","title":{"rendered":"\u56fa\u4f53\u7c92\u5b50\u3084\u6db2\u6ef4\u3092\u542b\u3080\u5de5\u696d\u7528\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3068\u5206\u6790\u306e\u305f\u3081\u306e AI \u30e2\u30c7\u30eb\u306e\u9069\u7528"},"content":{"rendered":"

\u306f\u3058\u3081\u306b<\/h1>\n

\"\"<\/p>\n

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<\/p>\n

\u95a2\u9023\u7814\u7a76<\/h1>\n

\u8fd1\u5e74\u306e\u51fa\u7248\u7269 (\u8868 1) \u306f\u3001\u5316\u5b66\u696d\u754c\u306e\u753b\u50cf\u3092\u5206\u6790\u3059\u308b\u305f\u3081\u306b\u4eba\u5de5\u77e5\u80fd\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3078\u306e\u95a2\u5fc3\u304c\u9ad8\u307e\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u307b\u3068\u3093\u3069\u306e\u5834\u5408\u3001\u305d\u306e\u3088\u3046\u306a\u753b\u50cf\u306e\u5206\u6790\u306f\u3001Faster R-CNN \u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u305f\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30e2\u30c7\u30eb\u3067\u3042\u308b Mask R-CNN \u30e2\u30c7\u30eb (He et al., 2018) \u3092\u4f7f\u7528\u3057\u3066\u5b9f\u884c\u3055\u308c\u305f\u3053\u3068\u306f\u6ce8\u76ee\u306b\u5024\u3057\u307e\u3059\u3002 Mask R-CNN \u306b\u3088\u308b\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306f 2 \u3064\u306e\u6bb5\u968e\u3067\u69cb\u6210\u3055\u308c\u307e\u3059\u3002 \u7b2c 1 \u6bb5\u968e (\u9818\u57df\u63d0\u6848\u30cd\u30c3\u30c8\u30ef\u30fc\u30af) \u3067\u306f\u3001\u5019\u88dc\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9\u304c\u63d0\u6848\u3055\u308c\u307e\u3059\u3002 \u7b2c 2 \u6bb5\u968e\u3067\u306f\u3001\u5404\u5019\u88dc\u30dc\u30c3\u30af\u30b9\u306e\u7279\u5fb4\u304c (RoiAling \u5c64\u3092\u4f7f\u7528\u3057\u3066) \u62bd\u51fa\u3055\u308c\u3001\u305d\u306e\u5f8c\u3001\u5206\u985e\u3068\u5883\u754c\u30dc\u30c3\u30af\u30b9\u56de\u5e30\u306e\u624b\u9806\u304c\u7d9a\u304d\u307e\u3059\u3002 \u3055\u3089\u306b\u3001\u691c\u51fa\u3055\u308c\u305f\u5404\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30af\u30e9\u30b9\u3068\u5883\u754c\u30dc\u30c3\u30af\u30b9\u4e88\u6e2c\u3092\u884c\u3046\u305f\u3081\u306b\u3001Mask R-CNN \u306f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u3059\u3079\u3066\u306e\u30d4\u30af\u30bb\u30eb\u3092\u30ab\u30d0\u30fc\u3059\u308b\u30de\u30b9\u30af\u3092\u751f\u6210\u3057\u307e\u3059\u3002 \u3053\u306e\u30de\u30b9\u30af\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u56fa\u4f53\u306e\u7c92\u5b50\u3084\u6db2\u6ef4\u306a\u3069\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30b5\u30a4\u30ba\u3092\u63a8\u5b9a\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u8868\uff11.  \u5316\u5b66\u696d\u754c\u306e\u753b\u50cf\u3092\u5206\u6790\u306e\u4f8b<\/h4>\n

\"\"<\/p>\n

\"\"<\/p>\n

\u56f3 1. He et al. \uff082018\uff09\u306b\u57fa\u3065\u304fMask R-CNN \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af \u3002<\/h4>\n

\u5408\u6210\u753b\u50cf<\/h2>\n

CNN (Mask R-CNN \u3092\u542b\u3080) \u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u306f\u901a\u5e38\u3001\u5927\u91cf\u306e\u753b\u50cf\u306b\u624b\u52d5\u3067\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u4ed8\u3051\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\u6642\u9593\u3068\u52b4\u529b\u304c\u304b\u304b\u308a\u307e\u3059\u3002 \u3053\u308c\u306f\u3001\u4eba\u5de5\u7684\u306b\u751f\u6210\u3055\u308c\u305f\u5199\u771f\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u56de\u907f\u3067\u304d\u307e\u3059\u3002 \u6587\u732e\u306b\u306f\u3001\u5408\u6210\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u5c11\u306a\u304f\u3068\u3082 2 \u3064\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u304c\u898b\u3064\u304b\u308a\u307e\u3059 (\u8868 1 \u3082\u53c2\u7167)\u3002<\/p>\n

1. Blender \u306b\u57fa\u3065\u304f\u65b9\u6cd5<\/h3>\n

Blender \u306f\u30013D \u30e2\u30c7\u30eb\u304b\u3089\u753b\u50cf\u3084\u30d3\u30c7\u30aa\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u308b\u3001\u7121\u6599\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9 3D \u4f5c\u6210\u30b9\u30a4\u30fc\u30c8\u3067\u3059\u3002 \u672c\u7269\u306e\u3088\u3046\u306a\u7c92\u5b50\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e Blender \u9069\u5fdc\u306e\u4f8b\u306f\u3001Frei \u3068 Kruis (2022) \u306b\u3088\u3063\u3066\u8aac\u660e\u3055\u308c\u305f synthPIC4Python \u30c4\u30fc\u30eb\u30dc\u30c3\u30af\u30b9\u3067\u3059\u3002 \u6700\u521d\u306b\u3001\u30c4\u30fc\u30eb\u30dc\u30c3\u30af\u30b9\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u63d0\u4f9b\u3057\u305f\u60c5\u5831\u3001\u3064\u307e\u308a\u7c92\u5b50\u30b5\u30a4\u30ba\u5206\u5e03\u3001\u57fa\u672c\u5f62\u72b6 (\u4f8b: \u7403\u5f62)\u3001\u30c6\u30af\u30b9\u30c1\u30e3 (\u4f8b: \u6697\u3044\u307e\u305f\u306f\u660e\u308b\u3044)\u3001\u304a\u3088\u3073\u7c92\u5b50\u5909\u5f62\u306e\u624b\u9806 (\u3064\u307e\u308a\u3001\u30e9\u30f3\u30c0\u30e0\u5316\u53ef\u80fd\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u57fa\u3065\u304f) \u3092\u4f7f\u7528\u3057\u3066\u3001\u753b\u50cf\u306b\u5fc5\u8981\u306a\u7c92\u5b50\u3092\u6e96\u5099\u3057\u307e\u3059\u3002 . \u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001Blender \u306e\u525b\u4f53\u7269\u7406\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3001\u753b\u50cf\u3092\u3088\u308a\u73fe\u5b9f\u7684\u306b\u3057\u307e\u3059\u3002\u305d\u306e\u5f8c\u3001\u753b\u50cf\u306e\u30af\u30ea\u30fc\u30f3 \u30d0\u30fc\u30b8\u30e7\u30f3\u3068\u3059\u3079\u3066\u306e\u7c92\u5b50\u306e\u30de\u30b9\u30af\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002\u6700\u5f8c\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001\u5b9f\u7269\u306e\u3088\u3046\u306a\u5916\u89b3\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002 \u753b\u50cf\u306f\u8ffd\u52a0\u306e\u6b6a\u307f\uff08\u307c\u304b\u3057\u306a\u3069\uff09\u306b\u3088\u3063\u3066\u4fdd\u8a3c\u3055\u308c\u307e\u3059\u3002<\/p>\n

2. \u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u57fa\u3065\u304f\u65b9\u6cd5 (Vagenknecht et al. 2023)<\/h3>\n

\u5408\u6210\u7c92\u5b50\u8996\u899a\u6e2c\u5b9a (PVM) \u753b\u50cf\u306e\u751f\u6210\u306b\u30b5\u30a4\u30af\u30eb\u4e00\u8cab\u6027\u306e\u3042\u308b\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af (Cycle-consistent Generative Adversarial Network, CycleGAN) Vagenknecht et al. (2023) \u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u3002 \u4e00\u65b9\u3001PVM\u306f\u3001\u30ab\u30e1\u30e9\u3068\u5149\u6e90\u3092\u5099\u3048\u305f\u30d7\u30ed\u30fc\u30d6\u3092\u4f7f\u7528\u3059\u308b\u305d\u306e\u5834\u9855\u5fae\u93e1\u6280\u8853\u3067\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30d7\u30ed\u30fc\u30d6\u306f\u3001\u6d41\u4f53\u4e2d\u306b\u6d6e\u904a\u3059\u308b\u7c92\u5b50\u307e\u305f\u306f\u6db2\u6ef4\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u753b\u50cf\u3092\u8a18\u9332\u3059\u308b\u305f\u3081\u306b\u3001\u30d7\u30ed\u30bb\u30b9\u88c5\u7f6e (\u5316\u5b66\u53cd\u5fdc\u5668\u306a\u3069) \u306b\u633f\u5165\u3055\u308c\u307e\u3059\u3002 \u3053\u306e PVM \u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306f\u3001\u7d50\u6676\u5316\u3084\u4e73\u5316\u306a\u3069\u306e\u5316\u5b66\u304a\u3088\u3073\u88fd\u85ac\u7523\u696d\u306e\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30bb\u30b9\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u4e0d\u53ef\u6b20\u3067\u3059\u3002 \u305f\u3068\u3048\u3070\u3001\u7c92\u5b50\u30b5\u30a4\u30ba\u5206\u5e03\u306e\u6e2c\u5b9a\u3084\u3001\u88c5\u7f6e\u5185\u3067\u306e\u7c92\u5b50\u306e\u6319\u52d5\u306e\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u7406\u89e3\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u56fa\u4f53\u7c92\u5b50\u753b\u50cf\u89e3\u6790<\/h1>\n

\u5206\u6790\u306e\u305f\u3081\u306b\u3001\u3067\u3093\u3077\u3093\u30b9\u30e9\u30ea\u30fc\u306e\u9855\u5fae\u93e1\u753b\u50cf\u304c\u9078\u629e\u3055\u308c\u307e\u3057\u305f\u3002 \u3053\u3053\u3067\u3001\u3067\u3093\u3077\u3093\u30b9\u30e9\u30ea\u30fc\u3068\u306f\u3001\u3067\u3093\u3077\u3093\u9846\u7c92\u306e\u6c34\u61f8\u6fc1\u6db2\u3092\u610f\u5473\u3059\u308b\u3002 \u753b\u50cf\u500d\u7387\u304c\u9ad8\u3044\u305f\u3081\u3001\u61f8\u6fc1\u6db2\u4e2d\u306e\u500b\u3005\u306e\u3067\u3093\u3077\u3093\u9846\u7c92\u3092\u533a\u5225\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002 \u4e00\u65b9\u3001\u3053\u306e\u3088\u3046\u306a\u61f8\u6fc1\u6db2\u306f\u98df\u54c1\u696d\u754c\u306e\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30bb\u30b9\u3067\u983b\u7e41\u306b\u4f7f\u7528\u3055\u308c\u308b\u305f\u3081\u3001\u3053\u306e\u7a2e\u306e\u753b\u50cf\u306e\u5206\u6790\u306f\u5b9f\u7528\u7684\u306a\u610f\u5473\u3092\u6301\u3064\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u524d\u306b\u8ff0\u3079\u305f\u3001\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b Mask R-CNN \u30e2\u30c7\u30eb\u306f\u3001\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u6bd4\u8f03\u7684\u53e4\u3044\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3059\u3002 \u305d\u308c\u3069\u3053\u308d\u304b\u3001\u6628\u5e74\u4e2d\u306b\u3001ChatGPT4 \u3068 Segment Anything Model (SAM) \u3068\u3044\u3046 2 \u3064\u306e\u65b0\u3057\u3044\u5f37\u529b\u306a AI \u30e2\u30c7\u30eb\u304c\u4e00\u822c\u306b\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\u3002 \u7573\u307f\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u57fa\u3065\u304fMask R-CNN \u30e2\u30c7\u30eb\u3068\u306f\u7570\u306a\u308a\u3001ChatGPT4 \u3068 SAM \u306f Transformer\u30c6\u30af\u30ce\u30ed\u30b8\u30fc \u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u307e\u3057\u305f(Vaswani et al., 2017)\u3002\u56fa\u4f53\u7c92\u5b50\u3092\u542b\u3080\u753b\u50cf\u306e\u5206\u6790\u306e\u4f8b\u306f\u3001He et al.\uff082023\u5e74\uff09\u306e\u7814\u7a76\u306b\u3042\u308a\u307e\u3059\u3002 \u8457\u8005\u3089\u306f\u3001SAM \u3092\u4f7f\u7528\u3057\u305f\u30af\u30e9\u30a4\u30aa EM \u9855\u5fae\u93e1\u5199\u771f\u304b\u3089\u306e\u30bf\u30f3\u30d1\u30af\u8cea\u540c\u5b9a\u306b\u8fc5\u901f\u306a\u8abf\u6574\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u9069\u7528\u3057\u307e\u3057\u305f\u3002  \u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u3001\u3053\u308c\u3089 2 \u3064\u306e\u30e2\u30c7\u30eb (ChatGPT4, SAM) \u3092\u3067\u3093\u3077\u3093\u9846\u7c92\u753b\u50cf\u306e\u89e3\u6790\u306b\u5fdc\u7528\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n

ChatGPT4<\/h2>\n

\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3068\u3057\u3066\u958b\u767a\u3055\u308c\u305f ChatGPT4 \u306f\u3001\u5f37\u529b\u306a\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb \u30c4\u30fc\u30eb\u3067\u3059\u3002 \u305d\u306e\u305f\u3081\u3001\u30c6\u30ad\u30b9\u30c8\u3068\u753b\u50cf\u306e\u4e21\u65b9\u3092\u7406\u89e3\u3057\u3066\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3055\u3089\u306b\u3001\u72ec\u81ea\u306b Python \u30b3\u30fc\u30c9\u3092\u751f\u6210\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u3067\u793a\u3055\u308c\u305f\u76ee\u7684\u306b\u3053\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u3001ChatGPT4 \u304c\u72ec\u81ea\u3067\u3067\u3093\u3077\u3093\u7c92\u306e\u691c\u51fa\u306b\u3069\u306e\u3088\u3046\u306b\u5bfe\u51e6\u3067\u304d\u308b\u304b\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002 ChatGPT4 \u306f GPU \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u306f\u3001\u305f\u3068\u3048\u3070\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u5236\u9650\u304c\u3042\u308a\u307e\u3059\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u5f37\u529b\u306a\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30e2\u30c7\u30eb (Mask R-CNN \u306a\u3069) \u3092\u9069\u7528\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002 \u305f\u3060\u3057\u3001\u3053\u306e\u7ae0\u306e\u76ee\u7684\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u4f7f\u7528\u3057\u3066 ChatGPT4 \u304c\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3092\u3069\u306e\u3088\u3046\u306b\u6539\u5584\u3067\u304d\u308b\u304b\u3092\u793a\u3059\u3053\u3068\u3067\u3059\u3002<\/p>\n

\"\"<\/p>\n

\u56f3 2. \u4e00\u9023\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u3088\u308b\u9846\u7c92\u3092\u542b\u3080\u753b\u50cf\u306e\u5206\u6790\u3002 Hubacz et al.  (2017\uff09\u3089\u306e\u753b\u50cf\u3002 <\/h4>\n

\"\"<\/h4>\n

\u56f3 3. ChatGPT4 \u89e3\u6790\u7d50\u679c\u3068\u5730\u4e0a\u5b9f\u6e2c\u5024\u306e\u6bd4\u8f03\u3002 \u30b0\u30e9\u30a6\u30f3\u30c9\u30c8\u30a5\u30eb\u30fc\u6e2c\u5b9a\u306e\u624b\u9806\u306f (Hubacz et al.\u30012017) \u306b\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/h4>\n

\u3067\u3093\u3077\u3093\u7c92\u306e\u753b\u50cf\u306e\u5206\u6790\u306f\u3001\u300c\u3053\u306e\u5199\u771f\u306b\u306f\u4f55\u304c\u5199\u3063\u3066\u3044\u307e\u3059\u304b?\u300d\u3068\u3044\u3046\u8cea\u554f\u304b\u3089\u59cb\u307e\u308a\u307e\u3057\u305f\u3002 ChatGPT4 \u306f\u3001\u3053\u308c\u304c\u30b5\u30f3\u30d7\u30eb\u306e\u9855\u5fae\u93e1\u30d3\u30e5\u30fc\u3067\u3042\u308b\u3053\u3068\u3092\u6b63\u3057\u304f\u8a8d\u8b58\u3057\u3001\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30b5\u30a4\u30ba\u3092\u63a8\u5b9a\u3059\u308b\u305f\u3081\u306b\u753b\u50cf\u306e\u4e0b\u90e8\u306b\u3042\u308b\u30b9\u30b1\u30fc\u30eb (25.00 \u03bcm\/div) \u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002 \u3057\u304b\u3057\u3001\u3069\u306e\u3088\u3046\u306a\u30b5\u30f3\u30d7\u30eb\u306a\u306e\u304b\u306f\u8a8d\u8b58\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002 \u6b21\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001\u6b21\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u304c\u4f7f\u7528\u3055\u308c\u307e\u3057\u305f\u3002\u300c\u3053\u308c\u3089\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30b5\u30a4\u30ba\u5206\u5e03\u3092\u63a8\u5b9a\u3067\u304d\u307e\u3059\u304b\u3002 \u7269\u4f53\u306f\u5358\u306a\u308b\u3067\u3093\u3077\u3093\u7c92\u3067\u3059\u300d\u3002 ChatGPT4 \u306f skimage (Python \u30e9\u30a4\u30d6\u30e9\u30ea) \u3092\u4f7f\u7528\u3059\u308b\u624b\u9806\u3092\u63d0\u6848\u3059\u308b\u3053\u3068\u3067\u3001\u9846\u7c92\u306e\u5206\u5e03\u3092\u63a8\u5b9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002 \u3055\u3089\u306b\u3001ChatGPT4 \u306f\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u5f62\u3067\u30e6\u30fc\u30b6\u30fc\u304b\u3089\u306e\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u4f7f\u7528\u3057\u3066\u624b\u9806\u3092\u6700\u9069\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f (\u56f3 2)\u3002 \u7d50\u679c\u3092\u56f3 3 \u306b\u793a\u3057\u307e\u3059\u3002\u4e88\u6e2c\u3055\u308c\u305f\u76f4\u5f84\u306f\u5b9f\u969b\u306e\u76f4\u5f84\u3088\u308a\u3082\u5c0f\u3055\u304f\u3001\u6700\u3082\u5c0f\u3055\u306a\u9846\u7c92\u306e\u3044\u304f\u3064\u304b\u306f\u691c\u51fa\u3055\u3048\u3055\u308c\u307e\u305b\u3093\u3067\u3057\u305f\u3002 \u3053\u308c\u306f\u3001\u753b\u50cf\u89e3\u6790\u306e\u5fdc\u7528\u624b\u9806\u304c\u6bd4\u8f03\u7684\u5358\u7d14\u3067\u3042\u3063\u305f\u3053\u3068\u306b\u8d77\u56e0\u3059\u308b\u3002 \u305d\u308c\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u524d\u8ff0\u306e\u3088\u3046\u306b\u3001ChatGPT4 \u304c\u30e6\u30fc\u30b6\u30fc\u304c\u63d0\u4f9b\u3059\u308b\u8a08\u7b97\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u4e0a\u306e\u3088\u308a\u6d17\u7df4\u3055\u308c\u305f\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30e2\u30c7\u30eb\u3068\u9023\u643a\u3059\u308c\u3070\u3001\u3053\u306e\u7d50\u679c\u306f\u3055\u3089\u306b\u6539\u5584\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

SAM<\/h2>\n

Segment Anything Model (SAM) \u306f\u3001\u30d3\u30b8\u30e7\u30f3 \u30c8\u30e9\u30f3\u30b9\u30d5\u30a9\u30fc\u30de\u30fc\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30e2\u30c7\u30eb\u3067\u3059 (Kirillov et al.\u30012023)\u3002 SAM \u306b\u306f\u3001\u753b\u50cf\u30a8\u30f3\u30b3\u30fc\u30c0 (\u4e8b\u524d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f Vision Transformer \u30d9\u30fc\u30b9\u306e\u30de\u30b9\u30af\u3055\u308c\u305f\u30aa\u30fc\u30c8\u30a8\u30f3\u30b3\u30fc\u30c0 He et al., 2022)\u3001\u67d4\u8edf\u306a\u30d7\u30ed\u30f3\u30d7\u30c8 \u30a8\u30f3\u30b3\u30fc\u30c0 (\u30dd\u30a4\u30f3\u30c8\u3001\u30dc\u30c3\u30af\u30b9\u3001\u30c6\u30ad\u30b9\u30c8)\u3001\u304a\u3088\u3073\u9ad8\u901f\u30de\u30b9\u30af \u30c7\u30b3\u30fc\u30c0\u306e 3 \u3064\u306e\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u304c\u3042\u308a\u307e\u3059\u3002
\n\"\"<\/p>\n

\u56f3 4. Segment Anything Model (SAM)\u3002 \u56f3\u306f Kirillov et al. \uff082023\uff09\u306b\u57fa\u3065\u3044\u3066\u4f5c\u6210\u3055\u308c\u307e\u3057\u305f\u3002<\/h4>\n

SAM \u306f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8 \u30de\u30b9\u30af\u306e\u81ea\u52d5\u751f\u6210\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 \u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u691c\u51fa\u3059\u308b\u305f\u3081\u306b\u3001\u30e2\u30c7\u30eb\u306f\u591a\u6570\u306e\u30b5\u30f3\u30d7\u30eb \u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 \u3053\u308c\u306b\u3088\u308a\u3001\u8907\u6570\u306e\u30de\u30b9\u30af\u306e\u4e88\u6e2c\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u5f8c\u3067\u305d\u306e\u54c1\u8cea\u306b\u57fa\u3065\u3044\u3066\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3055\u308c\u307e\u3059\u3002 \u3055\u3089\u306b\u3001\u30de\u30b9\u30af\u304c\u91cd\u8907\u3057\u3066\u3044\u306a\u3044\u304b\u3069\u3046\u304b\u3082\u30c1\u30a7\u30c3\u30af\u3055\u308c\u307e\u3059\u3002 SAM \u81ea\u52d5\u751f\u6210\u30e2\u30fc\u30c9\u306e\u4e00\u822c\u7684\u306a\u51fa\u529b\u306f\u3001\u6b21\u306e\u9805\u76ee\u3092\u542b\u3080\u8f9e\u66f8\u3067\u3059:
\n    \u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 : \u30de\u30b9\u30af
\n  <\/em>  area : \u30de\u30b9\u30af\u306e\u9762\u7a4d (\u30d4\u30af\u30bb\u30eb\u5358\u4f4d)
\n    bbox : XYWH\u5f62\u5f0f\u306e\u30de\u30b9\u30af\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9
\n  <\/em>  predicted_iou : \u30de\u30b9\u30af\u306e\u54c1\u8cea\u306b\u95a2\u3059\u308b\u30e2\u30c7\u30eb\u81ea\u8eab\u306e\u4e88\u6e2c
\n    point_coords : \u3053\u306e\u30de\u30b9\u30af\u3092\u751f\u6210\u3057\u305f\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3055\u308c\u305f\u5165\u529b\u30dd\u30a4\u30f3\u30c8
\n  <\/em>  status_score : \u30de\u30b9\u30af\u54c1\u8cea\u306e\u8ffd\u52a0\u306e\u5c3a\u5ea6
\n  *  Crop_box : XYWH \u5f62\u5f0f\u3067\u3053\u306e\u30de\u30b9\u30af\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u753b\u50cf\u306e\u30c8\u30ea\u30df\u30f3\u30b0<\/p>\n

SAM \u306e\u51fa\u529b\u306b\u306f\u3001bbox \u3084 area \u306a\u3069\u306e\u8208\u5473\u6df1\u3044\u8ffd\u52a0\u60c5\u5831\u304c\u591a\u6570\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002 bbox \u306f\u3001\u691c\u51fa\u3055\u308c\u305f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u5358\u306a\u308b\u5883\u754c\u30dc\u30c3\u30af\u30b9\u3067\u3042\u308a\u3001\u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u4f4d\u7f6e\u3092\u793a\u3057\u307e\u3059\u3002 \u4e00\u65b9\u3001\u9762\u7a4d\u306f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30b5\u30a4\u30ba\u3092\u30d4\u30af\u30bb\u30eb\u5358\u4f4d\u3067\u8868\u3057\u307e\u3059\u3002 \u57fa\u6e96\u304c\u5229\u7528\u53ef\u80fd\u306a\u5834\u5408\u306f\u3001\u30e1\u30fc\u30c8\u30eb\u5358\u4f4d\u306b\u7c21\u5358\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/p>\n

\"\"<\/p>\n

\u56f3 5. SAM \u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u305f\u3067\u3093\u3077\u3093\u9846\u7c92\u306e\u30de\u30b9\u30af (Hubacz et al., 2017 \u306e\u753b\u50cf)\u3002 \u5de6\u5074\u306e\u753b\u50cf\u306f\u3001\u81ea\u52d5\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u4f7f\u7528\u3057\u3066\u751f\u6210\u3055\u308c\u305f\u30de\u30b9\u30af\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u53f3\u5074\u306e\u753b\u50cf\u306f\u3001SAM \u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u305f\u3001\u307e\u305f\u306f\u30e6\u30fc\u30b6\u30fc\u306b\u3088\u3063\u3066\u63d0\u4f9b\u3055\u308c\u305f\u9846\u7c92\u5883\u754c\u30dc\u30c3\u30af\u30b9\u304b\u3089\u751f\u6210\u3055\u308c\u305f\u30de\u30b9\u30af\u3092\u793a\u3057\u3066\u3044\u307e\u3059 (\u81ea\u52d5\u30a2\u30d7\u30ed\u30fc\u30c1\u4e2d\u306b\u9846\u7c92\u304c\u691c\u51fa\u3055\u308c\u306a\u304b\u3063\u305f\u5834\u5408)\u3002<\/h4>\n

\u56f3 5 \u306b\u306f\u3001\u3067\u3093\u3077\u3093\u9846\u7c92\u306e\u753b\u50cf\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u5bfe\u3059\u308b\u4e8b\u524d\u5b66\u7fd2\u6e08\u307f SAM \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u7d50\u679c\u304c\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002 \u6b8b\u5ff5\u306a\u304c\u3089\u3001\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u81ea\u52d5\u751f\u6210\u3092\u4f7f\u7528\u3057\u3066\u3059\u3079\u3066\u306e\u9846\u7c92\u306b\u5bfe\u3057\u3066\u30de\u30b9\u30af\u304c\u751f\u6210\u3055\u308c\u305f\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093 (\u56f3 5a)\u3002 \u3069\u3046\u3084\u3089\u3001\u3053\u306e\u30e2\u30c7\u30eb\u3067\u306f\u9846\u7c92\u306e\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u5834\u5408\u306b\u9846\u7c92\u306e\u691c\u51fa\u306b\u554f\u984c\u304c\u3042\u3063\u305f\u3088\u3046\u3067\u3059\u3002
\n\u305d\u308c\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001SAM \u306f\u30d7\u30ed\u30f3\u30d7\u30c8 (\u70b9\u3001\u30dc\u30c3\u30af\u30b9\u3001\u30c6\u30ad\u30b9\u30c8\u306e\u5f62\u5f0f) \u3092\u4f7f\u7528\u3057\u3066\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30de\u30b9\u30af\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002 \u3053\u308c\u3089\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306f\u3001\u691c\u51fa\u3059\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u6307\u5b9a\u3059\u308b\u5358\u306a\u308b\u30d2\u30f3\u30c8\u3067\u3059\u3002 \u7279\u306b\u3001\u30dc\u30c3\u30af\u30b9\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u306f\u3001\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u3069\u3053\u306b\u3042\u308b\u304b\u304c\u6b63\u78ba\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u30d7\u30ed\u30f3\u30d7\u30c8 \u30e2\u30fc\u30c9\u3067 SAM \u3092\u9069\u7528\u3059\u308b\u3068\u3001\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u7d50\u679c\u304c\u5411\u4e0a\u3059\u308b\u306f\u305a\u3067\u3059\u3002   \u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u6e96\u5099\u306b\u306f\u304b\u306a\u308a\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002 \u305d\u308c\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u81ea\u52d5\u30de\u30b9\u30af\u751f\u6210\u4e2d\u306b\u3001SAM \u306f\u691c\u51fa\u3055\u308c\u305f\u9846\u7c92\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9 (bbox) \u3092\u51fa\u529b\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u7c21\u5358\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002 \u3053\u308c\u306b\u3088\u308a\u3001\u81ea\u52d5\u751f\u6210\u4e2d\u306b\u691c\u51fa\u3055\u308c\u306a\u304b\u3063\u305f\u5c0f\u3055\u306a\u9846\u7c92\u306b\u5bfe\u3057\u3066\u306e\u307f\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u624b\u52d5\u3067\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u3063\u305f\u305f\u3081\u3001\u6642\u9593\u3092\u7bc0\u7d04\u3067\u304d\u307e\u3057\u305f\u3002 \u305d\u306e\u7d50\u679c\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u30e2\u30fc\u30c9\u3067\u52d5\u4f5c\u3059\u308bSAM\u306b\u3088\u308a\u3067\u3093\u3077\u3093\u7c92\u306b\u3088\u308b\u753b\u50cf\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\u3002 \u56f3 5b \u306f\u3001\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u304c\u4f7f\u7528\u3055\u308c\u305f\u3068\u304d\u306b\u307b\u3068\u3093\u3069\u306e\u9846\u7c92\u306e\u30de\u30b9\u30af\u304c\u751f\u6210\u3055\u308c\u305f\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u9069\u7528\u3059\u308b\u3068\u3001SAM \u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5927\u5e45\u306b\u5411\u4e0a\u3059\u308b\u3068\u8a00\u3048\u307e\u3059\u3002<\/p>\n

\"\"<\/p>\n

\u56f3 6. SAM \u306b\u3088\u3063\u3066\u63a8\u5b9a\u3055\u308c\u305f\u9846\u7c92\u9762\u7a4d\u3068\u624b\u52d5\u6e2c\u5b9a\u306e\u6bd4\u8f03 (Hubacz et al.\u30012017)\u3002 800\u00b5m2<\/sup>\u3092\u8d85\u3048\u308b\u9818\u57df\u306fSAM\u9593\u9055\u3044\u3067\u3059\u3002 \u3053\u308c\u3089\u306e\u9593\u9055\u3044\u306f\u3001\u30e2\u30c7\u30eb\u304c 2 \u3064\u307e\u305f\u306f 3 \u3064\u306e\u9846\u7c92\u306b\u5bfe\u3057\u3066\u30b8\u30e7\u30a4\u30f3\u30c8 \u30de\u30b9\u30af\u3092\u4f5c\u6210\u3059\u308b\u5834\u5408\u304c\u3042\u308b\u3068\u3044\u3046\u4e8b\u5b9f\u304b\u3089\u751f\u3058\u307e\u3059\u3002 \u3053\u308c\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u9846\u7c92\u306e\u7d50\u5408\u30de\u30b9\u30af\u304c\u5404\u9846\u7c92\u306e\u9069\u5207\u306b\u8a8d\u8b58\u3055\u308c\u305f\u30de\u30b9\u30af\u3067\u8986\u308f\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u30de\u30b9\u30af\u4ed8\u304d\u306e\u753b\u50cf\u3067\u306f\u78ba\u8a8d\u3067\u304d\u307e\u305b\u3093\u3002<\/h4>\n

SAM \u306b\u3088\u3063\u3066\u63a8\u5b9a\u3055\u308c\u305f\u9846\u7c92\u9762\u7a4d\u3068\u624b\u52d5\u5730\u4e0a\u771f\u6e2c\u5b9a (Hubacz et al.\u30012017) \u306e\u6bd4\u8f03\u3092\u56f3 6 \u306b\u793a\u3057\u307e\u3059\u3002\u898b\u3066\u308f\u304b\u308b\u3088\u3046\u306b\u3001SAM \u4e88\u6e2c\u3067\u306f\u3001\u3088\u308a\u5927\u304d\u306a\u9846\u7c92\u306b\u5411\u304b\u3063\u3066\u5c11\u3057\u30b7\u30d5\u30c8\u3057\u305f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002 \u3053\u308c\u306f\u3001\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u81ea\u52d5\u691c\u51fa\u4e2d\u306b\u5c0f\u3055\u306a\u7c92\u5b50\u3092\u8a8d\u8b58\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u3044\u3053\u3068\u304c\u90e8\u5206\u7684\u306b\u539f\u56e0\u3068\u306a\u308a\u307e\u3059\u3002 \u9846\u7c92\u30b5\u30a4\u30ba\u306e\u63a8\u5b9a\u8aa4\u5dee\u306e\u3082\u3046 1 \u3064\u306e\u7406\u7531\u306f\u3001SAM \u306b\u3088\u3063\u3066\u751f\u6210\u3055\u308c\u308b\u30b8\u30e7\u30a4\u30f3\u30c8 \u30de\u30b9\u30af\u306b\u95a2\u9023\u3057\u3066\u3044\u307e\u3059\u3002 \u3044\u304f\u3064\u304b\u306e\u9846\u7c92 (2 \u3064\u307e\u305f\u306f 3 \u3064) \u3092\u30ab\u30d0\u30fc\u3059\u308b\u3053\u308c\u3089\u306e\u30de\u30b9\u30af\u306f\u3001\u500b\u3005\u306e\u9846\u7c92\u306b\u5bfe\u3057\u3066\u9069\u5207\u306b\u4e88\u6e2c\u3055\u308c\u305f\u30de\u30b9\u30af\u306b\u3088\u3063\u3066\u96a0\u3055\u308c\u308b\u305f\u3081\u3001\u753b\u50cf\u5185\u3067\u8a8d\u8b58\u3059\u308b\u306e\u304c\u56f0\u96e3\u3067\u3059\u3002 \u30b8\u30e7\u30a4\u30f3\u30c8 \u30de\u30b9\u30af\u306e\u554f\u984c\u306f\u3001\u304a\u305d\u3089\u304f SAM \u304c\u30bc\u30ed \u30b7\u30e7\u30c3\u30c8 \u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u6a5f\u80fd\u3057\u305f\u3068\u3044\u3046\u4e8b\u5b9f\u306b\u8d77\u56e0\u3057\u307e\u3059\u3002 \u3055\u3089\u306b\u3001\u81ea\u52d5\u30de\u30b9\u30af\u751f\u6210\u4e2d\u306b\u4f5c\u6210\u3055\u308c\u305f bbox \u306f\u3001\u5f8c\u3067\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u3068\u3057\u3066\u518d\u5229\u7528\u3055\u308c\u307e\u3057\u305f\u3002 bbox \u306f\u9069\u7528\u3055\u308c\u305f\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u4e00\u90e8\u306b\u3059\u304e\u307e\u305b\u3093\u304c\u3001\u30d7\u30ed\u30f3\u30d7\u30c8 \u30e2\u30fc\u30c9\u3067\u52d5\u4f5c\u3059\u308b SAM \u306e\u4e88\u6e2c\u4e2d\u306b\u30b8\u30e7\u30a4\u30f3\u30c8 \u30de\u30b9\u30af\u306e\u554f\u984c\u3082\u767a\u751f\u3057\u307e\u3057\u305f\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u54c1\u8cea\u306e\u6539\u5584 (\u4f8b: \u3059\u3079\u3066\u306e\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u624b\u52d5\u6e96\u5099)\u3001\u307e\u305f\u306f SAM \u306e\u5fae\u8abf\u6574\u306b\u3088\u308a\u3001\u4e0d\u6b63\u78ba\u306a\u30b0\u30e9\u30cb\u30e5\u30fc\u30eb \u30de\u30b9\u30af\u306e\u767a\u751f\u304c\u6e1b\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n

SAM \u306e\u5fae\u8abf\u6574<\/h3>\n

SAM \u3067\u751f\u6210\u3055\u308c\u305f\u30de\u30b9\u30af\u306e\u54c1\u8cea\u306f\u3001\u30bf\u30b9\u30af\u56fa\u6709\u306e\u30a4\u30e1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u3092\u5fae\u8abf\u6574\u3059\u308b\u3053\u3068\u3067\u5411\u4e0a\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u4f8b\u3068\u3057\u3066\u306f\u3001MedSAM \u30e2\u30c7\u30eb\u304c\u6319\u3052\u3089\u308c\u307e\u3059 (Ma et al. 2023)\u3002 MedSAM \u306f\u3001\u533b\u7642\u753b\u50cf\u306e\u5927\u304d\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u3066\u4e8b\u524d\u5b66\u7fd2\u3055\u308c\u305f SAM \u3092\u4fee\u6b63\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u4f5c\u6210\u3055\u308c\u307e\u3057\u305f\u3002 \u305d\u308c\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u30bf\u30b9\u30af\u56fa\u6709\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u5411\u3051\u306b SAM \u3092\u5fae\u8abf\u6574\u3059\u308b\u306b\u306f\u3001\u901a\u5e38\u3001\u30e2\u30c7\u30eb\u306e\u91cd\u307f\u3092\u5927\u5e45\u306b\u8abf\u6574\u3057\u3001\u9ad8\u4fa1\u306a\u8a08\u7b97\u30ea\u30bd\u30fc\u30b9\u304c\u5fc5\u8981\u306b\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001Jia et al. (2022) \u30d3\u30b8\u30e5\u30a2\u30eb \u30d7\u30ed\u30f3\u30d7\u30c8 \u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u624b\u6cd5\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002 \u3053\u306e\u65b9\u6cd5\u8ad6\u306f\u3001\u4e8b\u524d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u306e\u91cd\u307f\u3092\u5909\u66f4\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u30bf\u30b9\u30af\u56fa\u6709\u306e\u5b66\u7fd2\u53ef\u80fd\u306a\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002 \u305d\u306e\u305f\u3081\u3001\u5b8c\u5168\u306a\u5fae\u8abf\u6574\u306b\u5339\u6575\u3059\u308b\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306f\u3001\u5c11\u91cf\u306e\u30e2\u30c7\u30eb \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u307f\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3060\u3051\u3067\u9054\u6210\u3067\u304d\u307e\u3059\u3002 \u56fa\u4f53\u7c92\u5b50\u3092\u542b\u3080\u753b\u50cf\u306e\u5206\u6790\u306e\u5834\u5408\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u30d9\u30fc\u30b9\u306e\u5b66\u7fd2\u306f\u3001\u305f\u3068\u3048\u3070 He et al.\uff082023\u5e74\uff09\u306b\u3088\u3063\u3066\u9069\u7528\u3055\u308c\u307e\u3057\u305f\u3002  \u8457\u8005\u3089\u306f\u3001cryo-EM\u9855\u5fae\u93e1\u5199\u771f\u304b\u3089\u30bf\u30f3\u30d1\u30af\u8cea\u3092\u540c\u5b9a\u3057\u305f\u3002<\/p>\n

SAM \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u7528\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u81ea\u52d5\u751f\u6210<\/h3>\n

\u524d\u8ff0\u3057\u305f\u3088\u3046\u306b\u3001SAM \u306b\u3088\u308b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30bb\u30b0\u30e1\u30f3\u30c8\u5316\u306e\u305f\u3081\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u6e96\u5099\u306b\u306f\u304b\u306a\u308a\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002 \u305f\u3060\u3057\u3001\u691c\u51fa\u3055\u308c\u305f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u8868\u3059\u5883\u754c\u30dc\u30c3\u30af\u30b9\u306e\u751f\u6210\u306b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51fa\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u9ad8\u901f\u5316\u3067\u304d\u307e\u3059\u3002 \u3053\u308c\u3089\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9\u306f\u3001\u30dc\u30c3\u30af\u30b9 \u30d7\u30ed\u30f3\u30d7\u30c8\u3068\u3057\u3066 SAM \u306b\u6e21\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u3088\u3046\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u4f8b\u306f\u3001Language Segment-Anything \u3067\u3059 (\u3053\u306e\u4f8b\u3078\u306e\u30ea\u30f3\u30af\u306f\u4ee5\u4e0b\u306b\u793a\u3055\u308c\u3066\u3044\u307e\u3059)\u3002 Language Segment-Anything \u306f\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u751f\u6210\u306b GroundingDINO (Liu et al., 2023) \u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 GroundingDINO \u306f\u3001AI \u306b\u3088\u308b\u7269\u4f53\u691c\u51fa\u306e\u305f\u3081\u306e\u6700\u5148\u7aef\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3059\u3002 \u30e6\u30fc\u30b6\u30fc\u306e\u30c6\u30ad\u30b9\u30c8 \u30d7\u30ed\u30f3\u30d7\u30c8\u306b\u3088\u3063\u3066\u63d0\u4f9b\u3055\u308c\u308b\u60c5\u5831\u306b\u57fa\u3065\u3044\u3066\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u691c\u51fa\u3057\u307e\u3059\u3002 \u3053\u306e\u30e2\u30c7\u30eb\u306b\u9069\u7528\u3055\u308c\u308b\u30c6\u30ad\u30b9\u30c8 \u30a8\u30f3\u30b3\u30fc\u30c0\u30fc\u306f\u3001ChatGPT4 \u306e\u3088\u3046\u306a\u5927\u898f\u6a21\u306a\u8a00\u8a9e\u30e2\u30c7\u30eb\u3088\u308a\u3082\u306f\u308b\u304b\u306b\u8907\u96d1\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002 \u305f\u3060\u3057\u3001\u5f62\u72b6\u304c\u6bd4\u8f03\u7684\u5358\u7d14\u3067\u4e92\u3044\u306b\u985e\u4f3c\u3057\u305f\u9846\u7c92\u3092\u691c\u51fa\u3059\u308b\u5834\u5408\u306b\u306f\u3001\u3053\u308c\u306f\u554f\u984c\u306b\u306f\u306a\u3089\u306a\u3044\u3088\u3046\u3067\u3059\u3002   \u3067\u3093\u3077\u3093\u9846\u7c92\u306b\u3088\u308b\u753b\u50cf\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u5bfe\u3059\u308b\u4e8b\u524d\u5b66\u7fd2\u6e08\u307f\u8a00\u8a9e\u30bb\u30b0\u30e1\u30f3\u30c8\u4f55\u3067\u3082\u30e2\u30c7\u30eb\u306e\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u56f3 7 \u306b\u793a\u3057\u307e\u3059\u3002\u81ea\u52d5 SAM \u30a2\u30d7\u30ed\u30fc\u30c1\u306e\u5834\u5408\u3068\u540c\u69d8\u3001\u5883\u754c\u30dc\u30c3\u30af\u30b9\u306f\u5927\u304d\u306a\u9846\u7c92\u306b\u5bfe\u3057\u3066\u306e\u307f\u898b\u3064\u304b\u308a\u307e\u3057\u305f\u3002 \u3055\u3089\u306b\u3001\u30c6\u30ad\u30b9\u30c8 \u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u5909\u66f4\u3084\u30e2\u30c7\u30eb \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u8abf\u6574\u306e\u5f8c\u3067\u3082\u3001\u7d50\u679c\u306f\u5927\u5e45\u306b\u6539\u5584\u3055\u308c\u307e\u305b\u3093\u3067\u3057\u305f\u3002 \u3053\u306e\u3053\u3068\u304b\u3089\u3001\u753b\u50cf\u5185\u306e\u3067\u3093\u3077\u3093\u7c92\u3092\u691c\u51fa\u3059\u308b\u306b\u306f\u3001\u540c\u69d8\u306e\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u30e2\u30c7\u30eb\u3092\u5fae\u8abf\u6574\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3068\u3044\u3046\u7d50\u8ad6\u306b\u3064\u306a\u304c\u308a\u307e\u3059\u3002<\/p>\n

\"\"<\/p>\n

\u56f3 7. \u3067\u3093\u3077\u3093\u9846\u7c92\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9\u306e\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u30b0\u30e9\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0 DINO (\u8a00\u8a9e\u30bb\u30b0\u30e1\u30f3\u30c8\u4f55\u3067\u3082\u30b3\u30fc\u30c9\u3092\u4f7f\u7528) \u4e88\u6e2c (Hubacz et al.\u30012017 \u306e\u753b\u50cf)\u3002 \u5927\u304d\u306a\u9846\u7c92\u306e\u30dc\u30c3\u30af\u30b9\u306f\u6b63\u3057\u304f\u691c\u51fa\u3055\u308c\u307e\u3059\u304c\u3001\u5c0f\u3055\u306a\u9846\u7c92\u306f\u691c\u51fa\u3055\u308c\u307e\u305b\u3093\u3002 \u30e2\u30c7\u30eb \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u4fee\u6b63\u3057\u305f\u5f8c\u3067\u3082 (box_threshold \u306e\u5024\u3092\u4e0b\u3052\u308b\u306a\u3069)\u3001\u30e2\u30c7\u30eb\u306f\u5c0f\u3055\u306a\u7c92\u5b50\u3092\u691c\u51fa\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002 <\/h4>\n

\u6587\u732e\u306e\u4e2d\u306b\u306f\u3001\u8457\u8005\u304c\u8fc5\u901f\u306a\u30d7\u30ed\u30f3\u30d7\u30c8\u751f\u6210\u306e\u305f\u3081\u306e\u4ed6\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u7814\u7a76\u3057\u3066\u3044\u308b\u8ad6\u6587\u3082\u898b\u3064\u304b\u308a\u307e\u3059\u3002 \u305d\u306e\u4f8b\u306e 1 \u3064\u306f\u3001\u30d7\u30ed\u30f3\u30d7\u30c8\u751f\u6210\u306e\u81ea\u52d5\u304a\u3088\u3073\u5bfe\u8a71\u578b\u306e\u65b9\u6cd5\u3092\u7d44\u307f\u5408\u308f\u305b\u305f AI-SAM (Automatic and Interactive Segment Anything Model) \u3067\u3059 (Pan et al., 2023)\u3002 \u305d\u306e\u30e2\u30b8\u30e5\u30fc\u30eb AI-Prompter\u306f\u753b\u50cf\u3092\u5206\u6790\u3057\u3001\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u5bfe\u8c61\u3068\u306a\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u95a2\u5fc3\u9818\u57df\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002 \u3053\u306e\u5206\u6790\u306b\u57fa\u3065\u3044\u3066\u3001\u521d\u671f\u70b9\u30d7\u30ed\u30f3\u30d7\u30c8\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002 \u305f\u3060\u3057\u3001\u624b\u9806\u306e\u8a73\u7d30\u306f\u8457\u8005\u306b\u3088\u3063\u3066\u63d0\u4f9b\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002 \u3055\u3089\u306b\u3001AI \u30d7\u30ed\u30f3\u30d7\u30bf\u30fc \u30e2\u30b8\u30e5\u30fc\u30eb\u306f\u3001\u751f\u6210\u3055\u308c\u305f\u30d7\u30ed\u30f3\u30d7\u30c8\u306e\u54c1\u8cea\u3092\u691c\u67fb\u3057\u3001\u8ffd\u52a0\u306e\u30e6\u30fc\u30b6\u30fc\u5165\u529b\u3092\u53d7\u3051\u5165\u308c\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u307e\u3068\u3081<\/h1>\n

ChatGPT4 \u306e\u4f8b\u3067\u793a\u3057\u305f\u3088\u3046\u306b\u3001\u73fe\u5728\u3001\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u958b\u767a\u306f\u975e\u5e38\u306b\u9032\u3093\u3067\u304a\u308a\u3001\u81ea\u7136\u8a00\u8a9e\u306e\u30b3\u30de\u30f3\u30c9 (\u30c6\u30ad\u30b9\u30c8 \u30d7\u30ed\u30f3\u30d7\u30c8) \u3092\u4f7f\u7528\u3057\u3066\u753b\u50cf\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u304c\u3059\u3067\u306b\u53ef\u80fd\u3067\u3059\u3002 \u539f\u5247\u3068\u3057\u3066\u3001\u3053\u306e\u76ee\u7684\u306b\u306f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u8a00\u8a9e\u306b\u95a2\u3059\u308b\u9ad8\u5ea6\u306a\u77e5\u8b58\u306f\u5fc5\u8981\u3042\u308a\u307e\u305b\u3093\u3002\u305f\u3060\u3057\u3001\u753b\u50cf\u3092\u5206\u6790\u3059\u308b\u3053\u306e\u3088\u3046\u306a\u5bfe\u8a71\u578b\u306e\u65b9\u6cd5\u306f\u3001\u753b\u50cf\u306e\u6570\u304c\u305d\u308c\u307b\u3069\u591a\u304f\u306a\u3044\u5834\u5408\u306b\u53ef\u80fd\u3067\u3059\u3002 \u305d\u308c\u4ee5\u5916\u306e\u5834\u5408\u306f\u3001\u4eba\u9593\u306e\u53c2\u52a0\u306a\u3057\u3067 (\u307e\u305f\u306f\u4eba\u9593\u306e\u53c2\u52a0\u3092\u9650\u5b9a\u3057\u3066) \u5206\u6790\u3092\u81ea\u52d5\u7684\u306b\u5b9f\u884c\u3059\u308b\u65b9\u304c\u3088\u3044\u3067\u3057\u3087\u3046\u3002 \u7269\u4f53\u691c\u51fa\u304a\u3088\u3073\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306e\u73fe\u5728\u306e\u30e2\u30c7\u30eb\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u306b\u8ffd\u52a0\u306e\u8abf\u6574\u3092\u884c\u308f\u306a\u304f\u3066\u3082\u3001\u6db2\u6ef4\u3084\u56fa\u4f53\u7c92\u5b50\u3092\u691c\u51fa\u3067\u304d\u307e\u3059 (\u30bc\u30ed \u30b7\u30e7\u30c3\u30c8 \u30a2\u30d7\u30ed\u30fc\u30c1 )\u3002 \u305f\u3060\u3057\u3001\u3053\u306e\u5834\u5408\u3001\u4e00\u90e8\u306e\u8aa4\u691c\u51fa\u3084\u672a\u691c\u51fa\u304c\u907f\u3051\u3089\u308c\u307e\u305b\u3093\u3002 \u305d\u308c\u306f\u3001\u305d\u308c\u3089\u306e\u30e2\u30c7\u30eb\u304c\u305d\u306e\u3088\u3046\u306a\u76ee\u7684\u306e\u305f\u3081\u306b\u8a13\u7df4\u3055\u308c\u3066\u3044\u306a\u3044\u3068\u3044\u3046\u4e8b\u5b9f\u306b\u7531\u6765\u3057\u307e\u3059\u3002 \u3057\u305f\u304c\u3063\u3066\u3001\u691c\u51fa\u30a8\u30e9\u30fc\u3092\u56de\u907f\u3059\u308b\u306b\u306f\u3001\u30e2\u30c7\u30eb\u3092\u5fae\u8abf\u6574\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u305f\u3060\u3057\u3001\u5fae\u8abf\u6574\u306b\u306f\u3001\u65b0\u3057\u3044\u30bf\u30b9\u30af\u56fa\u6709\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8 (\u6c34\u6ef4\u3084\u56fa\u4f53\u7c92\u5b50\u3092\u542b\u3080\u753b\u50cf\u306a\u3069) \u3092\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 \u3053\u308c\u306f\u304b\u306a\u308a\u6642\u9593\u3068\u52b4\u529b\u304c\u304b\u304b\u308a\u307e\u3059\u3002 \u3053\u308c\u3092\u56de\u907f\u3059\u308b\u65b9\u6cd5\u306e 1 \u3064\u306f\u3001\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3 (\u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u30de\u30b9\u30af\u307e\u305f\u306f\u5883\u754c\u30dc\u30c3\u30af\u30b9) \u3092\u4f7f\u7528\u3057\u3066\u5408\u6210\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3067\u3059\u3002   \u4e0a\u8a18\u306e\u89b3\u5bdf\u3092\u8003\u616e\u3059\u308b\u3068\u3001\u3067\u3093\u3077\u3093\u7c92\u3092\u542b\u3080\u753b\u50cf\u306e\u89e3\u6790\u306f\u6b21\u306e\u3088\u3046\u306b\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002  \u30b9\u30c6\u30c3\u30d7 1. \u5408\u6210\u3067\u3093\u3077\u3093\u9846\u7c92\u753b\u50cf\u306e\u6e96\u5099\u3002  \u30b9\u30c6\u30c3\u30d7 2: \u5408\u6210\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7269\u4f53\u691c\u51fa\u30e2\u30c7\u30eb (Grounding DINO \u306a\u3069) \u3092\u5fae\u8abf\u6574\u3057\u307e\u3059\u3002  \u30b9\u30c6\u30c3\u30d7 3: \u5fae\u8abf\u6574\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u9069\u7528\u3057\u3066\u5b9f\u969b\u306e\u3067\u3093\u3077\u3093\u753b\u50cf\u306e\u5883\u754c\u30dc\u30c3\u30af\u30b9\u3092\u751f\u6210\u3059\u308b\u3002\u3000  \u30b9\u30c6\u30c3\u30d7 4: SAM\u306f\u3001\u30dc\u30c3\u30af\u30b9\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u3068\u3057\u3066\u5883\u754c\u30dc\u30c3\u30af\u30b9\u3092\u4f7f\u7528\u3057\u3066\u3001\u3067\u3093\u3077\u3093\u306e\u753b\u50cf\u3092\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3057\u307e\u3059\u3002<\/p>\n

\u53c2\u8003\u6587\u732e<\/h1>\n

\u8ad6\u6587:<\/h3>\n

Frei M. and Kruis F. E.(2020): Image-based size analysis of agglomerated and partially sintered particles via convolutional neural networks; Powder Technology, 360  
\nFrei M. and Kruis F. E.  (2021): FibeR-CNN: Expanding Mask R-CNN to improve image-based fiber analysis, Powder Technology, 377  
\nFrei M. and Kruis F. E. (2022) : Image-Based Analysis of Dense Particle Mixtures via Mask R-CNN, Eng 3   
\nHe K., Gkioxari G., Dollar P, Girshick R. (2018): Mask R-CNN, arXiv:1703.06870v3  
\nHe K., Chen X., Xie S., Li Y., Dollar P., and Girshick R.(2022): Masked autoencoders are scalable vision learners. CVPR, 2022. 5  
\nHe F., Yang Z., Gao M., Poudel B., Dhas N. S. E. S., Gyawali R., Dhakal A., Cheng J., Xu D. (2023): Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs, arXiv:2311.16140  
\nH\u00f6ving S., Neuendorf L., Betting T. and Kockmann N. (2023):  Determination of Particle Size Distributions of Bulk Samples Using Micro-Computed Tomography and Artificial Intelligence, Materials 16, 1002   
\nHubacz R., Hayato Masuda H., Takafumi Horie T., Naoto Ohmura N. (2017): Thermal treatment of starch slurry in Couette-Taylor flow apparatus, Chemical and Process Engineering 38 (3), 345-361  
\nJia M., Tang L, Chen B.-Ch., Cardie C., Belongie S., Hariharan B., Lim S.-N.: Visual Prompt Tuning, arXiv:2203.12119   
\nKirillov A., Mintun E., Ravi N., Mao H., Rolland Ch., Gustafson L., Xiao T., Whitehead S., Berg A. C., Lo W.-Y., Doll\u00e1r P., Girshick R.(2023): Segment Anything, arXiv:2304.02643v1   
\nLiu S., Zeng Z., Ren T., Li F., Zhang H., Yang J., Li Ch., Yang J., Su H., Zhu J., Zhang L. (2023): Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection, arXiv:2303.05499   
\nMa J., He Y., Li F., Han L., You Ch., Wang B. (2023): “Segment anything in medical images.” arXiv:2304.12306   
\nPan Y., Zhang S., Gernand A. D., Goldstein J. A., Wang J. Z. (2023): AI-SAM: Automatic and Interactive Segment Anything Model, arXiv:2312.03119v1  
\nVagenknecht M., Soukup J., Chen A., Irizarry R. (2023): A deep learning solution for particle size analysis in low resolution inline microscopy images based on generative adversarial network; Powder Technology, vol. 426  
\nVaswani A., Shazeer N., Parmar N., Uszkoreit J., Jones L., Gomez A. N., Kaiser L., Polosukhin I. (2017): Attention Is All You Need, arXiv:1706.03762  
\nWu Y., Lin M., Rohani S. (2020): Particle characterization with on-line imaging and neural network image analysis, Chemical Engineering Research and Design, 157  
\nYang D., Wang X., Zhang H., Yin Z., Su D., Xu J. (2021) : A Mask R-CNN based particle identification for quantitative shape evaluation of granular materials, Powder Technology, 392<\/p>\n

\u30a6\u30a7\u30d6\u30b5\u30a4\u30c8:<\/h3>\n

AI-SAM (Pan et al., 2023): https:\/\/github.com\/ymp5078\/AI-SAM  
\nLanguage Segment-Anything (L. Medeiros\u2019 Github): https:\/\/github.com\/luca-medeiros\/lang-segment-anything  
\nsynthPIC4Python (Frei and Kruis, 2022)): https:\/\/github.com\/maxfrei750\/synthPIC4Python\/tree\/master\/primitives  
\nblender: https:\/\/www.blender.org\/  
\nPrompt_sam_cryoPPP (He et al.2023): https:\/\/github.com\/yangyang-69\/Prompt_sam_cryoPPP  
\nSAM (Kirillov et al., 2023): https:\/\/github.com\/facebookresearch\/segment-anything   <\/p>\n","protected":false},"excerpt":{"rendered":"

\u306f\u3058\u3081\u306b \u753b\u50cf\u51e6\u7406\u306f\u3001\u5316\u5b66\u3001\u88fd\u85ac\u3001\u98df\u54c1\u7523\u696d\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30bb\u30b9\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u9069\u7528\u3067\u304d\u308b\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3067\u3059\u3002\u753b\u50cf\u5206\u6790\u306f\u3001\u591a\u76f8\u30b7\u30b9\u30c6\u30e0\u3067\u767a\u751f\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u306e\u5834\u5408\u306b\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 \u591a\u76f8\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u5206\u6563\u76f8\u3068\u9023\u7d9a\u76f8\u306e\u5c11\u306a\u304f\u3068 […]<\/p>\n","protected":false},"author":104,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[45,169,188,187,191,65,189,85,190],"_links":{"self":[{"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/11633"}],"collection":[{"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/users\/104"}],"replies":[{"embeddable":true,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11633"}],"version-history":[{"count":51,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/11633\/revisions"}],"predecessor-version":[{"id":12400,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=\/wp\/v2\/posts\/11633\/revisions\/12400"}],"wp:attachment":[{"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/test.ecomottblog.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}