{"id":366,"date":"2021-06-06T10:59:02","date_gmt":"2021-06-06T01:59:02","guid":{"rendered":"http:\/\/rinrinjp.com\/kenkounotomo\/?p=366"},"modified":"2021-06-06T11:33:37","modified_gmt":"2021-06-06T02:33:37","slug":"github-ai","status":"publish","type":"post","link":"https:\/\/zaina.club\/kenkounotomo\/github-ai\/","title":{"rendered":"GitHub\u4eba\u5de5\u667a\u80fdAI\u5f00\u6e90\u9879\u76ee"},"content":{"rendered":"<p>\u7cbe\u54c1\u6536\u85cf\uff1aGitHub\u4eba\u5de5\u667a\u80fdAI\u5f00\u6e90\u9879\u76ee<\/p>\n<p>pan_jinquan 2018-07-26 18:33:06 26205 \u6536\u85cf 317<br \/>\n\u5206\u7c7b\u4e13\u680f\uff1a \u673a\u5668\u5b66\u4e60 \u5b66\u4e60\u7b14\u8bb0 \u6df1\u5ea6\u5b66\u4e60 \u6587\u7ae0\u6807\u7b7e\uff1a GitHub AI\u5f00\u6e90\u9879\u76ee \u4eba\u5de5\u667a\u80fd \u59ff\u6001\u8bc6\u522b<br \/>\n\u7248\u6743<br \/>\n\u7cbe\u54c1\u6536\u85cf\uff1aGitHub\u4eba\u5de5\u667a\u80fdAI\u5f00\u6e90\u9879\u76ee<br \/>\n\u7edd\u5bf9\u7cbe\u54c1\uff01\uff01\uff01\u82b1\u4e86\u70b9\u65f6\u95f4\uff0c\u9119\u4eba\u628a\u8fd9\u51e0\u5e74\u6536\u85cf\u7684\u5f00\u6e90\u7cbe\u54c1\u9879\u76ee\uff0c\u6574\u7406\u4e00\u4e0b\uff0c\u65b9\u9762\u4ee5\u540e\u67e5\u627e\u3002\u5176\u4e2d\u6db5\u76d6\u4e86\u59ff\u6001\u68c0\u6d4b\uff0c\u56fe\u50cf\u5206\u5272\uff0c\u56fe\u50cf\u5206\u7c7b\uff0c\u7f8e\u5b66\u8bc4\u4ef7\u3001\u4eba\u8138\u8bc6\u522b\u3001\u591a\u5c3a\u5ea6\u8bad\u7ec3\uff0c\u79fb\u52a8\u7aef\u7684AI\u00a0\u8ba1\u7b97\u5f15\u64ce\uff0c\u536b\u661f\u56fe\u50cf\uff0cNLP\uff0cPython\u5305\uff0c\u6587\u5b57\u68c0\u6d4b\uff0cNCRF\uff0cDALI\u00a0\u7b49\u5f00\u6e90\u9879\u76ee\u3002<\/p>\n<p>\u66f4\u591a\u5f00\u6e90\u9879\u76ee\uff0c\u6301\u7eed\u66f4\u7ec6\u4e2d\u2026\u2026<\/p>\n<p>\u76ee\u5f55<\/p>\n<p>\u76ee\u5f55<\/p>\n<p>\u7cbe\u54c1\u6536\u85cf\uff1aGitHub\u4eba\u5de5\u667a\u80fdAI\u5f00\u6e90\u9879\u76ee<\/p>\n<p>\u5e38\u89c1\u7684\u7684\u6570\u636e\u96c6<\/p>\n<p>Model Zoo-\u673a\u5668\u5b66\u4e60\u9884\u8bad\u7ec3\u6a21\u578b\u4e0b\u8f7d\u5730\u5740<\/p>\n<p>DensePose-\u5b9e\u65f6\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1<\/p>\n<p>AlphaPose-\u59ff\u6001\u8bc6\u522b<\/p>\n<p>MobilePose-\u652f\u6301\u79fb\u52a8\u8bbe\u5907\u3001\u5355\u4eba\u59ff\u6001\u4f30\u8ba1\u6846\u67b6<\/p>\n<p>NeuralEnhance: \u63d0\u9ad8\u56fe\u50cf\u5206\u8fa8\u7387\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/p>\n<p>FaceNet-\u4eba\u8138\u8bc6\u522b\u7b97\u6cd5<\/p>\n<p>Age and Gender Estimation-\u5e74\u9f84\u548c\u6027\u522b\u8bc4\u4f30\u6a21\u578b<\/p>\n<p>CornerNet-Lite\u76ee\u6807\u68c0\u6d4b<\/p>\n<p>OD Annotation-\u76ee\u6807\u68c0\u6d4b\u6570\u636e\u96c6\u6807\u6ce8\u5de5\u5177<\/p>\n<p>Semantic Segmentation PyTorch-\u8bed\u4e49\u5206\u5272\u5de5\u5177\u5305<\/p>\n<p>Photo Aesthetics Ranking Network -\u56fe\u50cf\u7f8e\u5b66\u6392\u540d\u7f51\u7edc<\/p>\n<p>Non-local Neural Networks for Video Classification-\u89c6\u9891\u5206\u7c7b\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b<\/p>\n<p>colornet-\u5c06\u7070\u5ea6\u56fe\u8f6c\u4e3a\u5f69\u8272\u56fe<\/p>\n<p>Visual Search Server-\u53ef\u89c6\u5316\u641c\u7d22\u670d\u52a1\u5668<\/p>\n<p>Darts-\u53ef\u5fae\u5206\u7684\u5377\u79ef\u5faa\u73af\u7f51\u7edc\u7ed3\u6784<\/p>\n<p>SNIPER-\u9ad8\u6548\u7684\u591a\u5c3a\u5ea6\u8bad\u7ec3\u65b9\u6cd5<\/p>\n<p>Mace-\u7528\u4e8e\u79fb\u52a8\u7aef\u7684\u3001\u5f02\u6784\u8ba1\u7b97\u5e73\u53f0\u7684\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406\u6846\u67b6<\/p>\n<p>Robosat-\u7aef\u5230\u7aef\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5<\/p>\n<p>DecaNLP-\u81ea\u7136\u8bed\u8a00\u754c\u7684\u201c\u5341\u9879\u5168\u80fd\u201d\u6311\u6218<\/p>\n<p>Magnitude-\u5feb\u901f\u9ad8\u6548\u7684\u901a\u7528\u5411\u91cf\u5d4c\u5165\u5f0f\u5b9e\u7528\u7a0b\u5e8f\u5305<\/p>\n<p>Porcupine-\u81ea\u52a9\u5f0f\u7684\u3001\u9ad8\u7cbe\u5ea6\u3001\u8f7b\u91cf\u7ea7\u6587\u5b57\u68c0\u6d4b\u5f15\u64ce<\/p>\n<p>NCRF-\u795e\u7ecf\u6761\u4ef6\u968f\u673a\u573a\u7ed3\u6784\uff0c\u80fd\u591f\u5c06\u68c0\u6d4b\u5230\u7684\u764c\u75c7\u8f6c\u79fb\u5230WSI\u00a0\u4e2d<\/p>\n<p>DALI-\u6570\u636e\u52a0\u8f7d\u5e93<\/p>\n<p>\u5e38\u89c1\u7684\u7684\u6570\u636e\u96c6<br \/>\n\u641c\u72d0\u65b0\u95fb\u6570\u636e(SogouCS)\uff1ahttps:\/\/www.sogou.com\/labs\/resource\/cs.php<\/p>\n<p>\u817e\u8baf\u673a\u5668\u5b66\u4e60\u6570\u636e\u96c6\uff1ahttps:\/\/github.com\/Tencent\/tencent-ml-images<\/p>\n<p>cifa\u6570\u636e\u96c6\uff1a<\/p>\n<p>AVA\u6570\u636e\u96c6\uff1a<\/p>\n<p>&nbsp;<\/p>\n<p>Model Zoo-\u673a\u5668\u5b66\u4e60\u9884\u8bad\u7ec3\u6a21\u578b\u4e0b\u8f7d\u5730\u5740<br \/>\n\u7f51\u9875\u5730\u5740\uff1ahttp:\/\/modelzoo.org\/<\/p>\n<p>MobileNet [Caffe][Caffe2]<\/p>\n<p>Caffe MobileNet<br \/>\nCaffe2 MobileNet<br \/>\nSqueezeNet [CoreML]<\/p>\n<p>V1.1<\/p>\n<p>Caffe SqueezeNet<\/p>\n<p>CoreML SqueezeNet<\/p>\n<p>NCNN SqueezeNet<\/p>\n<p>V1.0<\/p>\n<p>Caffe SqueezeNet<\/p>\n<p>VGG16 [CoreML]<\/p>\n<p>CoreML VGG16<\/p>\n<p>ResNet50 [CoreML]<\/p>\n<p>CoreML ResNet50<\/p>\n<p>Place205_GoogLeNet [CoreML]<\/p>\n<p>CoreML Place205_GoogLeNet<\/p>\n<p>InceptionV3 [CoreML]<\/p>\n<p>CoreML InceptionV3<\/p>\n<p>AlexNet [Caffe]<\/p>\n<p>Caffe AlexNet<\/p>\n<p>DensePose-\u5b9e\u65f6\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1<br \/>\nDensePose \u662fFacebook \u7814\u7a76\u9662\u5f00\u53d1\u7684\u4e00\u79cd\u5b9e\u65f6\u4eba\u4f53\u59ff\u6001\u4f30\u8ba1\u65b9\u6cd5\uff0c\u5b83\u80fd\u591f\u5c062D RGB \u56fe\u50cf\u4e2d\u7684\u76ee\u6807\u50cf\u7d20\u6620\u5c04\u52303D \u8868\u9762\u6a21\u578b\u3002DensePose \u9879\u76ee\u65e8\u5728\u901a\u8fc7\u8fd9\u79cd\u57fa\u4e8e3D \u8868\u9762\u6a21\u578b\u6765\u7406\u89e3\u56fe\u50cf\u4e2d\u7684\u4eba\u4f53\u59ff\u6001\uff0c\u5e76\u80fd\u591f\u6709\u6548\u5730\u8ba1\u7b972D RGB \u56fe\u50cf\u548c\u4eba\u4f533D \u8868\u9762\u6a21\u578b\u4e4b\u95f4\u7684\u5bc6\u96c6\u5bf9\u5e94\u5173\u7cfb\u3002\u4e0e\u4eba\u4f53\u59ff\u52bf\u4f30\u8ba1\u9700\u8981\u4f7f\u752810\u621620\u4e2a\u4eba\u4f53\u5173\u8282(\u624b\u8155\uff0c\u8098\u90e8\u7b49) \u4e0d\u540c\u7684\u662f\uff0cDenPose \u4f7f\u7528\u8d85\u8fc75000\u4e2a\u8282\u70b9\u6765\u5b9a\u4e49\uff0c\u7531\u6b64\u4ea7\u751f\u7684\u4f30\u8ba1\u51c6\u786e\u6027\u548c\u7cfb\u7edf\u901f\u5ea6\u5c06\u52a0\u901fAR\u548cVR \u5de5\u4f5c\u7684\u8fde\u63a5\u3002<img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/9f6f691cbdbda95a6af9dd4e113c70d7293647ea\/68747470733a2f2f64726976652e676f6f676c652e636f6d2f75633f6578706f72743d766965772669643d317166534f6b7075656f316b565a62584f75514a4a687961674b6a4d676570737a\" \/><\/p>\n<p>\u76f8\u5173\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/research.fb.com\/facebook-open-sources-densepose\/<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/facebookresearch\/DensePose<\/p>\n<p>AlphaPose-\u59ff\u6001\u8bc6\u522b<br \/>\n\u7531\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5362\u7b56\u543e\u56e2\u961f\u53d1\u5e03\u7684\u5f00\u6e90\u7cfb\u7edfAlphaPose\u8fd1\u65e5\u4e0a\u7ebf\uff0c\u8be5\u5f00\u6e90\u7cfb\u7edf\u5728\u6807\u51c6\u6d4b\u8bd5\u96c6COCO\u4e0a\u8f83\u73b0\u6709\u6700\u597d\u59ff\u6001\u4f30\u8ba1\u5f00\u6e90\u7cfb\u7edfMask-RCNN\u76f8\u5bf9\u63d0\u9ad88.2%\u3002Mask-RCNN\u662f2017\u5e74\u4ee5\u6765\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u7684\u4e00\u4e2a\u7a81\u7834\uff0c\u83b7\u5f97\u4e86ICCV 2017\u6700\u4f73\u8bba\u6587\uff08\u9a6c\u5c14\u5956\uff09\uff0c\u6db5\u76d6\u4e86\u7269\u4f53\u68c0\u6d4b\uff0c\u5206\u5272\uff0c\u59ff\u6001\u4f30\u8ba1\u3002<\/p>\n<p>AlphaPose \u662f\u57fa\u4e8e\u817e\u8baf\u4f18\u56fe\u548c\u5362\u7b56\u543e\u56e2\u961f\u5728 ICCV 2017 \u4e0a\u7684\u5206\u533a\u57df\u591a\u4eba\u59ff\u6001\u8bc6\u522b\u7b97\u6cd5\uff08RMPE\uff09\uff0c\u8be5\u7b97\u6cd5\u4e3b\u8981\u4e3a\u4e86\u89e3\u51b3\u5728\u4eba\u7269\u68c0\u6d4b\u7ed3\u679c\u4e0d\u51c6\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u7a33\u5b9a\u7684\u591a\u4eba\u59ff\u6001\u8bc6\u522b\u95ee\u9898<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-372\" src=\"http:\/\/rinrinjp.com\/kenkounotomo\/wp-content\/uploads\/2021\/06\/20180726171901134-300x169.gif\" alt=\"\" width=\"300\" height=\"169\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-371\" src=\"http:\/\/rinrinjp.com\/kenkounotomo\/wp-content\/uploads\/2021\/06\/20180726171833130-300x169.gif\" alt=\"\" width=\"300\" height=\"169\" \/><\/p>\n<p>&#8212;-<br \/>\n<img decoding=\"async\" class=\"has\" src=\"https:\/\/img-blog.csdn.net\/20180726171833130?watermark\/2\/text\/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2d1eXVlYWxpYW4=\/font\/5a6L5L2T\/fontsize\/400\/fill\/I0JBQkFCMA==\/dissolve\/70\" alt=\"\" \/><\/p>\n<p>&#8212;-<br \/>\n<img decoding=\"async\" class=\"has\" src=\"https:\/\/img-blog.csdn.net\/20180726171901134?watermark\/2\/text\/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2d1eXVlYWxpYW4=\/font\/5a6L5L2T\/fontsize\/400\/fill\/I0JBQkFCMA==\/dissolve\/70\" alt=\"\" \/><\/p>\n<p>\u76f8\u5173\u94fe\u63a5\uff1a<\/p>\n<p>http:\/\/mvig.sjtu.edu.cn\/research\/alphapose.html<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/MVIG-SJTU\/AlphaPose<\/p>\n<p>MobilePose-\u652f\u6301\u79fb\u52a8\u8bbe\u5907\u3001\u5355\u4eba\u59ff\u6001\u4f30\u8ba1\u6846\u67b6<br \/>\nMobilePose \u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u3001\u57fa\u4e8e PyTorch \u5b9e\u73b0\u7684\u652f\u6301\u79fb\u52a8\u8bbe\u5907\u3001\u5355\u4eba\u59ff\u6001\u4f30\u8ba1\u6846\u67b6\u3002\u76ee\u6807\u65e8\u5728\u63d0\u4f9b\u4e00\u4e2a\u6a21\u578b\u8bad\u7ec3\/\u63a8\u7406\/\u8bc4\u4f30\u63a5\u53e3\uff0c\u4ee5\u53ca\u5177\u6709\u5404\u79cd\u6570\u636e\u589e\u5f3a\u9009\u9879\u7684\u6570\u636e\u91c7\u96c6\u5668\u3002\u6700\u7ec8\u8bad\u7ec3\u7684\u6a21\u578b\u5728\u901f\u5ea6\u3001\u5927\u5c0f\u548c\u7cbe\u5ea6\u65b9\u9762\u5747\u53ef\u6ee1\u8db3\u79fb\u52a8\u8bbe\u5907\u7684\u57fa\u672c\u9700\u6c42\u3002<\/p>\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/YuliangXiu\/MobilePose-pytorch<\/p>\n<p>NeuralEnhance: \u63d0\u9ad8\u56fe\u50cf\u5206\u8fa8\u7387\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<br \/>\nNeuralEnhance\u662f\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u7684\u63d0\u9ad8\u56fe\u50cf\u5206\u8fa8\u7387\u7684\u6a21\u578b<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/raw.githubusercontent.com\/alexjc\/neural-enhance\/master\/docs\/OldStation_example.gif\" \/><\/p>\n<p>\u9879\u76ee\u5730\u5740\uff1a<\/p>\n<p>https:\/\/github.com\/alexjc\/neural-enhance<\/p>\n<p>FaceNet-\u4eba\u8138\u8bc6\u522b\u7b97\u6cd5<br \/>\n\u8c37\u6b4c\u4eba\u8138\u68c0\u6d4b\u7b97\u6cd5\uff0c\u53d1\u8868\u4e8e CVPR 2015\uff0c\u5229\u7528\u76f8\u540c\u4eba\u8138\u5728\u4e0d\u540c\u89d2\u5ea6\u7b49\u59ff\u6001\u7684\u7167\u7247\u4e0b\u6709\u9ad8\u5185\u805a\u6027\uff0c\u4e0d\u540c\u4eba\u8138\u6709\u4f4e\u8026\u5408\u6027\uff0c\u63d0\u51fa\u4f7f\u7528 cnn + triplet mining \u65b9\u6cd5\uff0c\u5728 LFW \u6570\u636e\u96c6\u4e0a\u51c6\u786e\u5ea6\u8fbe\u5230 99.63%\uff0c\u5728 youtube \u4eba\u8138\u6570\u636e\u96c6\u4e0a\u51c6\u786e\u5ea6 95.12%\uff0c\u6bd4\u4ee5\u5f80\u51c6\u786e\u5ea6\u63d0\u5347\u4e86\u5c06\u8fd1 30%\u3002<\/p>\n<p>\u8bba\u6587\u5730\u5740\uff1a<\/p>\n<p>FaceNet: A Unified Embedding for Face Recognition and Clustering<\/p>\n<p>\u9879\u76ee\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/davidsandberg\/facenet<\/p>\n<p>Age and Gender Estimation-\u5e74\u9f84\u548c\u6027\u522b\u8bc4\u4f30\u6a21\u578b<br \/>\n\u8be5\u9879\u76ee\u662f\u4e00\u4e2a\u57fa\u4e8e Keras \u6846\u67b6\u5b9e\u73b0\u7684 CNN \u6a21\u578b\uff0c\u7528\u4e8e\u6839\u636e\u4eba\u8138\u7167\u7247\u6d4b\u7b97\u5e74\u9f84\u548c\u6027\u522b\u3002<img decoding=\"async\" src=\"https:\/\/github.com\/yu4u\/age-gender-estimation\/wiki\/images\/result.png\" \/><\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/yu4u\/age-gender-estimation<\/p>\n<p>CornerNet-Lite\u76ee\u6807\u68c0\u6d4b<br \/>\n\u300a\u540a\u6253YOLOv3\uff01\u666e\u6797\u65af\u987f\u5927\u5b66\u63d0\u51faCornerNet-Lite\uff0c\u5df2\u5f00\u6e90\u300b\uff1ahttps:\/\/mp.weixin.qq.com\/s?__biz=MzI3MTA0MTk1MA==&amp;mid=2652043490&amp;idx=3&amp;sn=42e64c635e12b20bc6f3818e2cb08efd&amp;chksm=f1218c13c6560505bda9fdec38456d496a433a59ea3565d2770d202e770aa34cffed5f959cad&amp;mpshare=1&amp;scene=1&amp;srcid=&amp;key=12cf210ad33822ced47db9659a9ad9fb06d9b43514839b0e51d2c7cc295e6aa5a513958cb839e083d936417df7e2529e28499c2768bf78c6dc659bb01444656b0a8e1e9876e18c047345dfcac20e4c5f&amp;ascene=1&amp;uin=MTcyMzIzMzM4Mg%3D%3D&amp;devicetype=Windows+10&amp;version=62060739&amp;lang=zh_CN&amp;pass_ticket=EW7xEsUmTqF2PN1BvGoSkdfU8Px1FTqAASG0hmuXkMmXyT2kLwfRnQtRm8MknQLj<\/p>\n<p>OD Annotation-\u76ee\u6807\u68c0\u6d4b\u6570\u636e\u96c6\u6807\u6ce8\u5de5\u5177<br \/>\n\u672c\u9879\u76ee\u662f\u4e00\u4e2a\u76ee\u6807\u68c0\u6d4b\u6570\u636e\u96c6\u6807\u6ce8\u5de5\u5177\uff0c\u91c7\u7528 Python-flask \u6846\u67b6\u5f00\u53d1\uff0c\u57fa\u4e8e B\/S \u65b9\u5f0f\u4ea4\u4e92\uff0c\u652f\u6301\u591a\u4eba\u540c\u65f6\u6807\u6ce8\u3002<\/p>\n<p>\u9879\u76ee\u7279\u70b9\u5982\u4e0b\uff1a<\/p>\n<p>B\/S \u65b9\u5f0f\u4ea4\u4e92<br \/>\n\u652f\u6301\u591a\u4eba\u540c\u65f6\u6807\u6ce8\uff08\u53ef\u5206\u914d\u4e0d\u540c\u6807\u6ce8\u4eba\u5458\u7684\u6807\u6ce8\u8303\u56f4\uff0c\u6216\u4e0d\u540c\u4eba\u5458\u6807\u6ce8\u4e0d\u540c\u7c7b\u522b\uff09<br \/>\n\u7c7b\u522b\u91c7\u7528\u9009\u62e9\u65b9\u5f0f\uff0c\u514d\u53bb\u624b\u5de5\u8f93\u5165\u7c7b\u522b\u5de5\u4f5c<br \/>\n\u652f\u6301\u62d6\u62fd\u65b9\u5f0f\u4fee\u6b63\u6807\u6ce8\u533a\u57df<br \/>\n\u652f\u6301\u952e\u76d8\u65b9\u5411\u952e\u5207\u6362\u6807\u6ce8\u6837\u672c<img decoding=\"async\" src=\"https:\/\/github.com\/hzylmf\/od-annotation\/raw\/master\/docs\/ui2.png\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/hzylmf\/od-annotation<\/p>\n<p>Semantic Segmentation PyTorch-\u8bed\u4e49\u5206\u5272\u5de5\u5177\u5305<br \/>\n\u672c\u9879\u76ee\u662f\u7531 MIT CSAIL \u5b9e\u9a8c\u5ba4\u5f00\u6e90\u7684 PyTorch \u8bed\u4e49\u5206\u5272\u5de5\u5177\u5305\uff0c\u5176\u4e2d\u5305\u542b\u591a\u79cd\u7f51\u7edc\u7684\u5b9e\u73b0\u548c\u9884\u8bad\u7ec3\u6a21\u578b\u3002\u81ea\u5e26\u591a\u5361\u540c\u6b65 bn\uff0c\u80fd\u590d\u73b0\u5728 MIT ADE20K \u4e0a SOTA \u7684\u7ed3\u679c\u3002ADE20K \u662f\u7531 MIT \u8ba1\u7b97\u673a\u89c6\u89c9\u56e2\u961f\u5f00\u6e90\u7684\u89c4\u6a21\u6700\u5927\u7684\u8bed\u4e49\u5206\u5272\u548c\u573a\u666f\u89e3\u6790\u6570\u636e\u96c6\u3002<img decoding=\"async\" src=\"https:\/\/github.com\/CSAILVision\/semantic-segmentation-pytorch\/raw\/master\/teaser\/ADE_val_00000278.png\" \/><img decoding=\"async\" src=\"https:\/\/github.com\/CSAILVision\/semantic-segmentation-pytorch\/raw\/master\/teaser\/ADE_val_00001519.png\" \/><\/p>\n<p>\u9879\u76ee\u94fe\u63a5<\/p>\n<p>https:\/\/github.com\/CSAILVision\/semantic-segmentation-pytorch<\/p>\n<p>Photo Aesthetics Ranking Network -\u56fe\u50cf\u7f8e\u5b66\u6392\u540d\u7f51\u7edc<br \/>\n\u4f7f\u7528caffe\u5b9e\u73b0\u7684\u56fe\u50cf\u7f8e\u5b66\u8d28\u91cf\u8bc4\u4ef7\u6a21\u578b<img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/dfd7bf4eddcded59d7ff10c3ff2c99712f2a2ab4\/687474703a2f2f7777772e6963732e7563692e6564752f253745736b6f6e67322f696d672f6165737468657469637344656d6f4669677572652e706e67\" alt=\"alt text\" \/><\/p>\n<p>\u9879\u76ee\u5730\u5740\uff1a<\/p>\n<p>https:\/\/github.com\/aimerykong\/deepImageAestheticsAnalysis<\/p>\n<p>Non-local Neural Networks for Video Classification-\u89c6\u9891\u5206\u7c7b\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b<br \/>\n\u672c\u9879\u76ee\u662f\u00a0Facebook \u8bba\u6587 Non-local Neural Networks \u7684\u89c6\u9891\u5206\u7c7b\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b\uff0c\u8fd9\u4e2a\u4ee3\u7801\u5728\u89c6\u9891\u5206\u7c7b\u6548\u679c\u548c\u6548\u7387\u4e0a\u90fd\u505a\u5230\u4e86\u5f88\u5927\u7684\u63d0\u5347\uff0cResNet-50 Non-local Net \u57fa\u672c\u80fd\u6a2a\u626b\u53ea\u7528 RGB \u7684\u89c6\u9891\u5206\u7c7b\u6a21\u578b\u3002\u4ee3\u7801\u91cc\u9762\u63d0\u4f9b\u7684\u6a21\u578b\u53ef\u4ee5\u4f5c\u4e3a\u8bb8\u591a\u5176\u4ed6\u4efb\u52a1\u7684\u5e95\u5c42 representation\uff0c\u4f5c\u8005\u5e0c\u671b\u901a\u8fc7\u8fd9\u4e2a\u4ee3\u7801\u80fd\u628a\u5927\u89c4\u6a21\u89c6\u9891\u76f8\u5173\u7684\u7814\u7a76\u5e26\u8fdb\u5bfb\u5e38\u767e\u59d3\u5bb6\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/ss.csdn.net\/p?https:\/\/mmbiz.qpic.cn\/mmbiz_jpg\/VBcD02jFhgnhv45RkymRFzU2qunuIicoy5I5HQg7ExyogxOv1n9UG3NYa86APLibBF9iaunIIBicaG7PSVX1NlcBZg\/640?\" alt=\"640?\" \/><\/p>\n<p>\u9879\u76ee\u94fe\u63a5:<\/p>\n<p>https:\/\/github.com\/facebookresearch\/video-nonlocal-net<\/p>\n<p>colornet-\u5c06\u7070\u5ea6\u56fe\u8f6c\u4e3a\u5f69\u8272\u56fe<br \/>\n\u4e00\u4e2a\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5c06\u7070\u5ea6\u56fe\u8f6c\u4e3aRGB\u5f69\u8272\u56fe<img decoding=\"async\" src=\"https:\/\/github.com\/pavelgonchar\/colornet\/raw\/master\/summary\/496000_0.png?raw=true\" \/><\/p>\n<p>\u9879\u76ee\u94fe\u63a5<\/p>\n<p>https:\/\/github.com\/pavelgonchar\/colornet<\/p>\n<p>Visual Search Server-\u53ef\u89c6\u5316\u641c\u7d22\u670d\u52a1\u5668<br \/>\n\u4e00\u4e2a\u7b80\u5355\u4f7f\u7528TensorFlow\uff0cInceptionV3\u6a21\u578b\u548cAWS GPU\u5b9e\u4f8b\u5b9e\u73b0\u7684\u89c6\u89c9\u641c\u7d22\u670d\u52a1\u5668\u3002\u4ee3\u7801\u5b9e\u73b0\u4e24\u4e2a\u65b9\u6cd5\uff0c\u4e00\u4e2a\u5904\u7406\u56fe\u50cf\u641c\u7d22\u7684\u670d\u52a1\u5668\u548c\u4e00\u4e2a\u63d0\u53d6pool3\u529f\u80fd\u7684\u7b80\u5355\u7d22\u5f15\u5668\u3002 \u6700\u8fd1\u90bb\u641c\u7d22\u53ef\u4ee5\u4f7f\u7528\u8fd1\u4f3c\uff08\u66f4\u5feb\uff09\u6216\u4f7f\u7528\u7cbe\u786e\u65b9\u6cd5\uff08\u66f4\u6162\uff09\u4ee5\u8fd1\u4f3c\u65b9\u5f0f\u6267\u884c\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u9879\u76ee\u5730\u5740\uff1a<\/p>\n<p>https:\/\/github.com\/AKSHAYUBHAT\/VisualSearchServer<\/p>\n<p>Darts-\u53ef\u5fae\u5206\u7684\u5377\u79ef\u5faa\u73af\u7f51\u7edc\u7ed3\u6784<br \/>\nDarts \u662f CMU \u8054\u5408DeepMind \u56e2\u961f\u7814\u53d1\u7684\u4e00\u79cd\u53ef\u5fae\u5206\u7684\u5377\u79ef\u5faa\u73af\u7f51\u7edc\u7ed3\u6784\uff0c\u5b83\u80fd\u591f\u57fa\u4e8e\u7ed3\u6784\u8868\u5f81\u7684\u8fde\u7eed\u6027\uff0c\u901a\u8fc7\u68af\u5ea6\u4e0b\u964d\u6cd5\u6765\u66f4\u6709\u6548\u5730\u8fdb\u884c\u7ed3\u6784\u641c\u7d22\u3002\u5728CIFAR-10\uff0cImageNet\uff0cPenn Treebank \u548cWikiText-2 \u7b49\u5927\u578b\u6570\u636e\u5e93\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8fd9\u79cd\u7ed3\u6784\u5728\u5377\u79ef\u56fe\u50cf\u5206\u7c7b\u548c\u5faa\u73af\u8bed\u8a00\u5efa\u6a21\u65b9\u9762\u7684\u9ad8\u6548\u6027\u80fd\u3002<img decoding=\"async\" src=\"https:\/\/github.com\/quark0\/darts\/raw\/master\/img\/progress_recurrent.gif\" alt=\"progress_recurrent\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/arxiv.org\/pdf\/1806.09055.pdf<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/quark0\/darts<\/p>\n<p>SNIPER-\u9ad8\u6548\u7684\u591a\u5c3a\u5ea6\u8bad\u7ec3\u65b9\u6cd5<br \/>\nSNIPER \u662f\u4e00\u79cd\u9ad8\u6548\u7684\u591a\u5c3a\u5ea6\u8bad\u7ec3\u65b9\u6cd5\uff0c\u53ef\u7528\u4e8e\u8bf8\u5982\u76ee\u6807\u68c0\u6d4b\uff0c\u5b9e\u4f8b\u5206\u5272\u7b49\u56fe\u50cf\u8bc6\u522b\u4efb\u52a1\u3002\u4e0e\u56fe\u50cf\u91d1\u5b57\u5854\u5904\u7406\u56fe\u50cf\u4e2d\u6bcf\u4e2a\u50cf\u7d20\u4e0d\u540c\uff0cSNIPER \u662f\u9009\u62e9\u6027\u5730\u5904\u7406\u771f\u5b9e\u76ee\u6807\u5468\u56f4\u533a\u57df\u7684\u50cf\u7d20\u3002\u5f97\u76ca\u4e8e\u5176\u80fd\u5728\u4f4e\u5206\u8fa8\u7387\u7684\u82af\u7247\u4e0a\u8fd0\u884c\uff0c\u8fd9\u80fd\u591f\u663e\u7740\u52a0\u901f\u4e86\u591a\u5c3a\u5ea6\u8bad\u7ec3\u8fdb\u7a0b\u3002\u6b64\u5916\uff0c\u9ad8\u6548\u7684\u5185\u5b58\u8bbe\u8ba1\u4f7f\u5f97 SNIPER \u5728\u8bad\u7ec3\u671f\u95f4\u80fd\u591f\u6700\u5927\u7a0b\u5ea6\u5730\u53d7\u76ca\u4e8e\u6279\u91cf\u6b63\u5219\u5316\u65b9\u6cd5 (BN)\uff0c\u8fd8\u80fd\u5728\u5355\u4e2a GPU \u4e0a\u5b9e\u73b0\u66f4\u5927\u6279\u91cf\u7684\u56fe\u50cf\u8bc6\u522b\u4efb\u52a1\u3002\u56e0\u6b64\uff0cSNIPER \u4e0d\u9700\u8981\u8de8 GPU \u540c\u6b65\u6279\u91cf\u5730\u5904\u7406\u7edf\u8ba1\u6570\u636e\uff0c\u4f60\u53ef\u4ee5\u50cf\u5904\u7406\u56fe\u50cf\u5206\u7c7b\u4e00\u6837\u5730\u8bad\u7ec3\u4f60\u7684\u76ee\u6807\u68c0\u6d4b\u5668\uff0c\u7b80\u5355\u800c\u9ad8\u6548\uff01<img decoding=\"async\" src=\"https:\/\/camo.githubusercontent.com\/715b9d813a5b2f7da34d75b17f8ee3c1722f0d71\/687474703a2f2f6c6567616379646972732e756d696163732e756d642e6564752f7e6e616a6962692f6769746875625f726561646d655f66696c65732f736e697065722e676966\" \/><\/p>\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/arxiv.org\/pdf\/1805.09300.pdf<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/mahyarnajibi\/SNIPER<\/p>\n<p>Mace-\u7528\u4e8e\u79fb\u52a8\u7aef\u7684\u3001\u5f02\u6784\u8ba1\u7b97\u5e73\u53f0\u7684\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406\u6846\u67b6<br \/>\nMace\u00a0\u662f\u4e00\u4e2a\u7528\u4e8e\u79fb\u52a8\u7aef\u7684\u3001\u5f02\u6784\u8ba1\u7b97\u5e73\u53f0\u7684\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406\u6846\u67b6\u3002\u5728\u8fd0\u884c\u671f\u95f4\uff0c\u5b83\u901a\u8fc7\u7ed3\u5408NEON\uff0cOpenCL\u00a0\u548cHexagon\u00a0\u8fdb\u884c\u4f18\u5316\uff0c\u5e76\u5f15\u5165Winograd\u00a0\u7b97\u6cd5\u6765\u52a0\u901f\u5377\u79ef\u8ba1\u7b97\uff0c\u56e0\u6b64\u521d\u59cb\u5316\u8fc7\u7a0b\u4e5f\u5c06\u66f4\u5feb\u5730\u4f18\u5316\u3002\u6b64\u5916\uff0c\u5b83\u80fd\u5f88\u597d\u5730\u652f\u6301\u56fe\u7ea7\u5185\u5b58\u5206\u914d\u4f18\u5316\u548c\u7f13\u51b2\u5668\u91cd\u7528\u8fc7\u7a0b\uff0c\u8bd5\u56fe\u4fdd\u6301\u6700\u5c0f\u7684\u5916\u90e8\u4f9d\u8d56\u6027\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528\u7a7a\u95f4\u3002\u5b83\u8fd8\u80fd\u826f\u597d\u5730\u8986\u76d6\u9ad8\u901a(Qualcomm)\uff0c\u8054\u53d1\u79d1\u6280(Media Tek)\uff0cPinecone\u00a0\u548c\u5176\u4ed6\u57fa\u4e8eARM\u00a0\u7684\u82af\u7247\uff0c\u4ee5CPU\u00a0\u8fd0\u884c\u65f6\u8fd8\u80fd\u4e0e\u5927\u591a\u6570\u7684POSIX\u00a0\u7cfb\u7edf\u548c\u6027\u80fd\u6709\u9650\u7684\u4f53\u7cfb\u7ed3\u6784\u517c\u5bb9\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/XiaoMi\/mace<\/p>\n<p>Robosat-\u7aef\u5230\u7aef\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5<br \/>\nRobosat \u662f\u4e00\u79cd\u7aef\u5230\u7aef\u7684\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\uff0c\u80fd\u591f\u7528\u4e8e\u822a\u7a7a\u548c\u536b\u661f\u56fe\u50cf\u7684\u76ee\u6807\u7279\u5f81\u63d0\u53d6\uff0c\u5305\u62ec\u56fe\u50cf\u4e2d\u7684\u5efa\u7b51\u7269\uff0c\u505c\u8f66\u573a\uff0c\u9053\u8def\uff0c\u6c7d\u8f66\u7b49\u76ee\u6807\u3002\u8be5\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4e09\u90e8\u5206\u5185\u5bb9\uff1a<img decoding=\"async\" src=\"https:\/\/github.com\/mapbox\/robosat\/raw\/master\/assets\/buildings.png\" \/><\/p>\n<p>\u6570\u636e\u51c6\u5907\uff1a\u4e3a\u8bad\u7ec3\u7279\u5f81\u63d0\u53d6\u6a21\u578b\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u96c6\u3002<br \/>\n\u8bad\u7ec3\u548c\u5efa\u6a21\uff1a\u4e3a\u56fe\u50cf\u7279\u5f81\u63d0\u53d6\u8bad\u7ec3\u4e00\u4e2a\u5206\u5272\u6a21\u578b\u3002<br \/>\n\u540e\u5904\u7406\uff1a\u5c06\u56fe\u50cf\u5206\u5272\u7ed3\u679c\u8f6c\u4e3a\u5e72\u51c0\u800c\u7b80\u5355\u7684\u51e0\u4f55\u5f62\u72b6\u3002<br \/>\nGithub\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/mapbox\/robosat<\/p>\n<p>DecaNLP-\u81ea\u7136\u8bed\u8a00\u754c\u7684\u201c\u5341\u9879\u5168\u80fd\u201d\u6311\u6218<br \/>\nDecaNLP\u00a0\u662f\u7531Saleforce\u00a0\u63d0\u51fa\u7684\u4e00\u4e2a\u81ea\u7136\u8bed\u8a00\u754c\u7684\u201c\u5341\u9879\u5168\u80fd\u201d\u6311\u6218\uff0c\u5176\u6db5\u76d6\u4e86\u5341\u9879\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\uff1a\u95ee\u7b54\uff0c\u673a\u5668\u7ffb\u8bd1\uff0c\u6458\u8981\uff0c\u81ea\u7136\u8bed\u8a00\u63a8\u7406\uff0c\u60c5\u611f\u5206\u6790\uff0c\u8bed\u4e49\u89d2\u8272\u6807\u8bb0\uff0c\u96f6\u76ee\u6807\u5173\u7cfb\u63d0\u53d6\uff0c\u76ee\u6807\u5bfc\u5411\u5bf9\u8bdd\uff0c\u8bed\u4e49\u5206\u6790\u548c\u5e38\u8bc6\u4ee3\u8bcd\u89e3\u6790\u7b49\u4efb\u52a1\u3002\u6bcf\u79cd\u4efb\u52a1\u90fd\u88ab\u89c6\u4e3a\u662f\u4e00\u79cd\u95ee\u7b54\u95ee\u9898\uff0c\u53ef\u4ee5\u901a\u8fc7\u6211\u4eec\u63d0\u51fa\u7684\u591a\u4efb\u52a1\u95ee\u7b54\u6a21\u578b\u6846\u67b6(Multitask Question Answering Network)\u00a0\u6765\u89e3\u51b3\u3002\u8be5\u6a21\u578b\u80fd\u591f\u8054\u5408\u5b66\u4e60DecaNLP\u00a0\u6311\u6218\u4e2d\u7684\u6240\u6709\u4efb\u52a1\uff0c\u800c\u4e0d\u9700\u8981\u5728\u591a\u4efb\u52a1\u8bbe\u7f6e\u4e0b\u8bbe\u5b9a\u67d0\u4e2a\u7279\u5b9a\u4efb\u52a1\u7684\u6a21\u5757\u6216\u8d85\u53c2\u6570\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/arxiv.org\/abs\/1806.08730<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/salesforce\/decaNLP<\/p>\n<p>Magnitude-\u5feb\u901f\u9ad8\u6548\u7684\u901a\u7528\u5411\u91cf\u5d4c\u5165\u5f0f\u5b9e\u7528\u7a0b\u5e8f\u5305<br \/>\nMagnitude\u00a0\u662f\u4e00\u79cd\u5feb\u901f\u9ad8\u6548\u7684\u901a\u7528\u5411\u91cf\u5d4c\u5165\u5f0f\u5b9e\u7528\u7a0b\u5e8f\u5305\uff0c\u542b\u6709\u529f\u80fd\u4e30\u5bcc\u7684Python\u00a0\u5305\u548c\u77e2\u91cf\u5b58\u50a8\u6587\u4ef6\u683c\u5f0f\uff0c\u53ef\u7528\u4e8e\u5728Plasticity\u00a0\u4e2d\u4ee5\u5feb\u901f\u3001\u9ad8\u6548\u800c\u7b80\u5355\u7684\u65b9\u5f0f\u5c06\u77e2\u91cf\u5d4c\u5165\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5b83\u4e3b\u8981\u662f\u4e3aGensim\u00a0\u63d0\u4f9b\u4e00\u79cd\u66f4\u7b80\u5355\u5feb\u901f\u7684\u66ff\u4ee3\u65b9\u6848\uff0c\u4f46\u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u79cd\u901a\u7528\u7684\u77e2\u91cf\u5b58\u50a8\u65b9\u6cd5\u5e94\u7528\u4e8eNLP\u00a0\u4ee5\u5916\u7684\u9886\u57df\u3002<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/plasticityai\/magnitude<\/p>\n<p>Porcupine-\u81ea\u52a9\u5f0f\u7684\u3001\u9ad8\u7cbe\u5ea6\u3001\u8f7b\u91cf\u7ea7\u6587\u5b57\u68c0\u6d4b\u5f15\u64ce<br \/>\nPorcupine\u00a0\u662f\u4e00\u79cd\u81ea\u52a9\u5f0f\u7684\u3001\u9ad8\u7cbe\u5ea6\u3001\u8f7b\u91cf\u7ea7\u6587\u5b57\u68c0\u6d4b\u5f15\u64ce\uff0c\u5b83\u80fd\u591f\u4f7f\u5f00\u53d1\u4eba\u5458\u6784\u5efa\u8bed\u97f3\u5e94\u7528\u7a0b\u5e8f\u5e73\u53f0\u3002\u5b83\u5177\u6709\u4ee5\u4e0b\u51e0\u5927\u4f18\u52bf\uff1a<\/p>\n<p>\u81ea\u52a9\u5f0f\u670d\u52a1\uff1a\u4f60\u53ef\u4ee5\u5728\u51e0\u79d2\u5185\u9009\u62e9\u4efb\u4f55\u7684\u5524\u9192\u8bcd(wake word)\u00a0\u5e76\u6784\u5efa\u6a21\u578b\u3002<br \/>\n\u80fd\u591f\u4f7f\u7528\u771f\u5b9e\u60c5\u51b5\u4e0b\u8bad\u7ec3\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc(\u5373\u566a\u58f0\u548c\u6df7\u54cd\uff09\u3002<br \/>\n\u7ed3\u6784\u7d27\u51d1\u4e14\u8ba1\u7b97\u6548\u7387\u9ad8\uff0c\u80fd\u591f\u9002\u7528\u4e8e\u7269\u8054\u7f51\u5e94\u7528\u3002<br \/>\n\u8de8\u5e73\u53f0\u5e94\u7528\uff1a\u4ee5\u7eaf\u5b9a\u70b9ANSIC\u00a0\u5b9e\u73b0\uff0c\u76ee\u524d\u53ef\u652f\u6301Raspberry Pi\uff0cAndroid\uff0ciOS\uff0cwatchOS\uff0cLinux\uff0cMac\u00a0\u548cWindows\u00a0\u7b49\u5e73\u53f0\u3002<br \/>\n\u53ef\u6269\u5c55\u6027\u5f3a\uff1a\u5b83\u53ef\u4ee5\u540c\u65f6\u68c0\u6d4b\u6570\u5341\u4e2a\u5524\u9192\u8bcd(wake word)\uff0c\u800c\u51e0\u4e4e\u4e0d\u9700\u8981\u989d\u5916\u7684CPU \/\u5185\u5b58\u5360\u7528\u3002<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/Picovoice\/Porcupine<\/p>\n<p>NCRF-\u795e\u7ecf\u6761\u4ef6\u968f\u673a\u573a\u7ed3\u6784\uff0c\u80fd\u591f\u5c06\u68c0\u6d4b\u5230\u7684\u764c\u75c7\u8f6c\u79fb\u5230WSI\u00a0\u4e2d<br \/>\nNCRF\u662f\u767e\u5ea6\u7814\u7a76\u7684\u4e00\u79cd\u795e\u7ecf\u6761\u4ef6\u968f\u673a\u573a\u7ed3\u6784\uff0c\u80fd\u591f\u5c06\u68c0\u6d4b\u5230\u7684\u764c\u75c7\u8f6c\u79fb\u5230WSI \u4e2d\u3002\u8fd9\u79cd\u6846\u67b6\u901a\u8fc7\u5b8c\u5168\u8fde\u63a5\u7684\u6761\u4ef6\u968f\u673a\u573a(CRF)\uff0c\u5c06\u76f8\u90bb\u8865\u4e01\u4e4b\u95f4\u7684\u7a7a\u95f4\u76f8\u5173\u6027\u76f4\u63a5\u5e76\u5165CNN \u7ed3\u6784\u7684\u9876\u5c42\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u5e76\u91c7\u7528\u6807\u51c6\u7684\u7aef\u5230\u7aef\u8bad\u7ec3\u65b9\u5f0f\uff0c\u4ee5\u53cd\u5411\u4f20\u64ad\u6cd5\u8fdb\u884c\u4f18\u5316\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\u8fd9\u79cd\u6846\u67b6\u80fd\u591f\u83b7\u5f97\u66f4\u4f73\u8d28\u91cf\u7684\u9884\u6d4b\u6982\u7387\u56fe\uff0c\u5e76\u53d6\u5f97\u4e0d\u9519\u7684\u5e73\u5747FROC \u5206\u6570\u3002<img decoding=\"async\" src=\"https:\/\/github.com\/baidu-research\/NCRF\/raw\/master\/doc\/NCRF.png\" \/><\/p>\n<p>\u8bba\u6587\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/openreview.net\/pdf?id=S1aY66iiM<\/p>\n<p>Github\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/baidu-research\/NCRF<\/p>\n<p>DALI-\u6570\u636e\u52a0\u8f7d\u5e93<br \/>\nDALI\u00a0\u662fNVIDA\u00a0\u63d0\u51fa\u7684\u4e00\u4e2a\u6570\u636e\u52a0\u8f7d\u5e93\uff0c\u5b83\u662f\u4e00\u4e2a\u9ad8\u5ea6\u4f18\u5316\u7684\u6784\u5efa\u6a21\u5757\u548c\u6267\u884c\u5f15\u64ce\u96c6\u5408\uff0c\u53ef\u7528\u4e8e\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u7a0b\u5e8f\u4e2d\u8f93\u5165\u6570\u636e\u7684\u9884\u5904\u7406\u8fc7\u7a0b\u3002\u6b64\u5916\uff0cDALI\u00a0\u8fd8\u63d0\u4f9b\u4e86\u4e0d\u540c\u6570\u636e\u7684\u52a0\u901f\u63d0\u4f9b\u4e86\u8db3\u591f\u7684\u6027\u80fd\u548c\u7075\u6d3b\u6027\uff0c\u5e76\u53ef\u4ee5\u8f7b\u677e\u96c6\u6210\u5230\u4e0d\u540c\u7684\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u548c\u63a8\u7406\u7a0b\u5e8f\u4e2d\u3002\u5b83\u5177\u6709\u4ee5\u4e0b\u51e0\u5927\u4f18\u52bf\uff1a<\/p>\n<p>\u80fd\u591f\u76f4\u63a5\u4ece\u78c1\u76d8\u52a0\u901f\u8bfb\u53d6\u5168\u6570\u636e\uff0c\u5e76\u4e3a\u8bad\u7ec3\u548c\u63a8\u7406\u8fc7\u7a0b\u505a\u51c6\u5907\u3002<br \/>\n\u901a\u8fc7\u53ef\u914d\u7f6e\u7684\u56fe\u5f62\u548c\u81ea\u5b9a\u4e49\u64cd\u4f5c\u5b9e\u73b0\u8db3\u591f\u7684\u7075\u6d3b\u6027\u3002<br \/>\n\u652f\u6301\u56fe\u50cf\u5206\u7c7b\u548c\u5206\u6bb5\u5de5\u4f5c\u8d1f\u8f7d\u3002<br \/>\n\u76f4\u63a5\u901a\u8fc7\u6846\u67b6\u63d2\u4ef6\u548c\u5f00\u6e90\u7ed1\u5b9a\u8f7b\u677e\u5b9e\u73b0\u96c6\u6210\u3002<br \/>\n\u5177\u6709\u591a\u79cd\u8f93\u5165\u683c\u5f0f\u7684\u4fbf\u643a\u5f0f\u8bad\u7ec3\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5305\u62ecJPEG\uff0cLMDB\uff0cRecordIO\uff0cTFRecord\u00a0\u7b49\u683c\u5f0f\u3002<br \/>\nGithub\u00a0\u94fe\u63a5\uff1a<\/p>\n<p>https:\/\/github.com\/NVIDIA\/dali<\/p>\n<p>\u5982\u679c\u4f60\u89c9\u5f97\u8be5\u5e16\u5b50\u5e2e\u5230\u4f60\uff0c\u8fd8\u671b\u8d35\u4eba\u591a\u591a\u652f\u6301\uff0c\u9119\u4eba\u4f1a\u518d\u63a5\u518d\u5389\uff0c\u7ee7\u7eed\u52aa\u529b\u7684~<br \/>\n\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014\u2014<br \/>\n\u7248\u6743\u58f0\u660e\uff1a\u672c\u6587\u4e3aCSDN\u535a\u4e3b\u300cpan_jinquan\u300d\u7684\u539f\u521b\u6587\u7ae0\uff0c\u9075\u5faaCC 4.0 BY-SA\u7248\u6743\u534f\u8bae\uff0c\u8f6c\u8f7d\u8bf7\u9644\u4e0a\u539f\u6587\u51fa\u5904\u94fe\u63a5\u53ca\u672c\u58f0\u660e\u3002<br \/>\n\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/blog.csdn.net\/guyuealian\/article\/details\/81223084<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_366\" class=\"pvc_stats all  \" data-element-id=\"366\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img decoding=\"async\" src=\"https:\/\/zaina.club\/kenkounotomo\/wp-content\/plugins\/page-views-count\/ajax-loader.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u7cbe\u54c1\u6536\u85cf\uff1aGitHub\u4eba\u5de5\u667a\u80fdAI\u5f00\u6e90\u9879 <span class=\"more-text\">&hellip;<\/span><\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_366\" class=\"pvc_stats all  \" data-element-id=\"366\" 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