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Are you sure you want to create this branch?<\/p>\n<p>Go to file T Go to <a href=\"\/36453.txt\">\u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u043d\u0430\u044f \u0441\u0441\u044b\u043b\u043a\u0430<\/a> L Copy path Copy permalink. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.<\/p>\n<p>Raw Blame. Edit this file. Open with Desktop View raw View blame. This file contains bidirectional Unicode adobe illustrator cc 2018 application leid \u81ea\u7531 that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode <a href=\"\/33141.txt\">microsoft visio2010\u5e74\u5272\u308c<\/a> Show hidden characters.<\/p>\n<p>block slides. title Modeling Photo Composition and its Application to Photo Re-Arrangement. authors Jaesik Park et al. conference ICIP p \u5b9f\u9a13\u306e\u7d50\u679c\u3001\u5f93\u6765\u624b\u6cd5\u3067\u6271\u308f\u308c\u3066\u3044\u308b\u4e09\u5206\u5272\u6cd5\u306a\u3069\u3092\u5b9a\u7fa9\u3059\u308b\u3053\u3068\u306a\u304f\u8868\u73fe\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3002. timestamp title Image Generation from Scene Graphs. adobe illustrator cc 2018 application leid \u81ea\u7531 Justin Johnson et al. conference CVPR p \u7269\u4f53\u540c\u58eb\u306e\u95a2\u4fc2\u3092\u8868\u3059Scene Graphs\u304b\u3089\u753b\u50cf\u3092\u751f\u6210\u3059\u308b\u624b\u6cd5\u306e\u63d0\u6848\u3002. \u521d\u3081\u306b\u3001Scene Graphs\u3092\u51e6\u7406\u3059\u308b\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u3063\u3066Scene Graphs\u3092\u8868\u73fe\u3059\u308b\u30d9\u30af\u30c8\u30eb\u3092\u53d6\u5f97\u3057\u3001\u305d\u3053\u304b\u3089\u753b\u50cf\u306e\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3002.<\/p>\n<p>\u6b21\u306b\u30ec\u30a4\u30a2\u30a6\u30c8\u304b\u3089CRN \u53c2\u8003\u6587\u732e \u3092\u7528\u3044\u3066\u753b\u50cf\u3092\u4f5c\u6210\u3059\u308b\u3002. title SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. authors Peng Xu, et al. p \u30b9\u30b1\u30c3\u30c1\u691c\u7d22\u306e\u305f\u3081\u306e\u30c7\u30a3\u30fc\u30d7\u30cf\u30c3\u30b7\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u63d0\u6848\u30023. p \u5f93\u6765\u306e\u30b9\u30b1\u30c3\u30c1\u8a8d\u8b58\u30bf\u30b9\u30af\u306b\u5f93\u3046\u4ee3\u308f\u308a\u306b\u3001\u3088\u308a\u56f0\u96e3\u306a\u554f\u984c\u306e\u30b9\u30b1\u30c3\u30c1\u30cf\u30c3\u30b7\u30e5\u691c\u7d22\u3092\u884c\u3046\u3002\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u30b9\u30b1\u30c3\u30c1\u8a8d\u8b58\u306e\u305f\u3081\u306b\u518d\u5229\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u3001\u3069\u3061\u3089\u3082\u9ad8\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3002\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u5f93\u6765\u306e\u6587\u732e\u3067\u306f\u3042\u307e\u308a\u7814\u7a76\u3055\u308c\u3066\u3044\u306a\u304b\u3063\u305f\u3001\u30b9\u30b1\u30c3\u30c1\u306e\u30e6\u30cb\u30fc\u30af\u306a\u7279\u6027\u3092\u898b\u51fa\u3059\u3002.<\/p>\n<p>pdf&#8221; \u8ad6\u6587. title MakeupGAN: Makeup Transfer via <a href=\"\/15510.txt\">\u0427\u0438\u0442\u0430\u0442\u044c<\/a> Adversarial Networks. authors Huiwen Chang et al. p \u30bd\u30fc\u30b9\u753b\u50cf\u306e\u30e1\u30a4\u30af\u3092\u30bf\u30fc\u30b2\u30c3\u30c8\u753b\u50cf\u3078\u8ee2\u5199\u3084\u30e1\u30a4\u30af\u306e\u9664\u53bb\u3092\u3059\u308b\u7814\u7a76\u3002. p Youtube\u306e\u30e1\u30a4\u30af\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306e\u52d5\u753b\u304b\u3089\u3001\u679a\u306e\u30e1\u30a4\u30af\u306a\u3057\u753b\u50cf\u3068\u679a\u306e\u30e1\u30a4\u30af\u3042\u308a\u753b\u50cf\u3092\u53ce\u96c6\u3002. title The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. authors Richard Zhang et al. p 2\u679a\u306e\u753b\u50cf\u306e\u985e\u4f3c\u5ea6\u3092\u8868\u3059\u6307\u6a19\u306f\u6570\u591a\u304f\u63d0\u6848\u3055\u308c\u3066\u3044\u308b\u304c\u3001\u305d\u306e\u985e\u4f3c\u5ea6\u306f\u5fc5\u305a\u3057\u3082\u4eba\u9593\u306e\u77e5\u899a\u3068\u4e00\u81f4\u3057\u3066\u3044\u306a\u3044\u3002.<\/p>\n<p>p \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3068\u3057\u3066\u3001\u753b\u50cf\u306b\u69d8\u3005\u306a\u52a0\u5de5\u3092\u65bd\u3057\u305f\u30c7\u30fc\u30bf\u3092\u4eba\u9593\u306b\u985e\u4f3c\u5ea6\u3092\u8a55\u4fa1\u3057\u3066\u3082\u3089\u3063\u305f\u3082\u306e\u3092\u4f5c\u6210\u3002. title How to Make an Image More Memorable? Deep Style Transfer Approach. authors Aliaksandr Siarohin et al. conference ICMR p \u30b9\u30bf\u30a4\u30eb\u30c8\u30e9\u30f3\u30b9\u30d5\u30a1\u30fc\u306b\u3088\u3063\u3066\u753b\u50cf\u3092\u3088\u308a\u8a18\u61b6\u306b\u6b8b\u308b\u3088\u3046\u306b\u3059\u308b\u7814\u7a76\u3002. p \u63d0\u6848\u624b\u6cd5\u306b\u3088\u3063\u3066\u9078\u629e\u3057\u305f\u30b9\u30bf\u30a4\u30eb\u753b\u50cf\u3092\u7528\u3044\u305f\u969b\u306e\u30b9\u30b3\u30a2\u4e0a\u6607\u306f\u3001\u5168\u30b9\u30bf\u30a4\u30eb\u753b\u50cf\u306e\u5e73\u5747\u4e0a\u6607\u30b9\u30b3\u30a2\u3088\u308a\u3082\u5927\u304d\u3044\u3053\u3068\u3092\u793a\u3057\u305f\u3002.<\/p>\n<p>authors Spyros Gidaris, Praveer Singh, Nikos Komodakis. conference ICLR \u8a55\u4fa1\u30bf\u30b9\u30af\u306fImageNet\u3067\u8868\u73fe\u5b66\u7fd2\u3092\u884c\u3063\u305f\u306e\u3061\u3001ImageNet, PascalVOC, Places\u3067fine-tuning\u3092\u884c\u3046\u3002\u4e00\u679a\u753b\u50cf\u304b\u3089\u306e\u8868\u73fe\u5b66\u7fd2\u3068\u3057\u3066\u306f\u307b\u3068\u3093\u3069\u306e\u30bf\u30b9\u30af\u3067\u73fe\u6642\u70b9\u306eSoTA\u3002. title Non-local Neural Networks. authors Xiaolong Wang et al. \u884c\u52d5\u8a8d\u8b58\uff20Kinetics\u3067\u306f\u975e\u5e38\u306b\u9ad8\u3044\u7cbe\u5ea6\u3092\u9054\u6210\u3002Instance segmentation\u3084key point detection\u306a\u3069\u306e\u30bf\u30b9\u30af\u3067\u3082\u6c4e\u7528\u7684\u306b\u52b9\u679c\u3092\u767a\u63ee\u3002. \u52b9\u679c\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u304c\u3059\u3054\u3044\u3002\u5b66\u7fd2\u66f2\u7dda\u304b\u3089\u3082\u3046\u307e\u304f\u3044\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u3002C2D\u306b\u5bfe\u3057\u3066space-time\u306bnon-local block\u3092\u9069\u7528\u3059\u308b\u30683Dconv\u3088\u308a\u3082\u6642\u7cfb\u5217\u65b9\u5411\u3078\u306e\u62e1\u5927\u3068\u3057\u3066\u52b9\u679c\u304c\u3042\u3063\u305f\u306e\u304c\u8208\u5473\u6df1\u3044\u3002.<\/p>\n<p>\u7d50\u5c40\u6b8b\u5dee\u3092\u7528\u3044\u305fnon-local block\u3092\u4f7f\u7528\u3057\u3066\u3044\u305f\u306e\u3067\u3001\u5358\u7d14\u306bnon-local layer\u306e\u307f\u3067\u306e\u6027\u80fd\u3082\u304d\u306b\u306a\u308b\u3002. adobe illustrator cc 2018 application leid \u81ea\u7531 Fashion Forward: Forecasting Visual Style in Fashion. authors Ziad Al-Halah et al. conference ICCV p \u30d5\u30a1\u30c3\u30b7\u30e7\u30f3\u306e\u6d41\u884c\u9077\u79fb\u3092CV\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u3063\u3066\u4e88\u6e2c\u3059\u308b\u7814\u7a76\u3002. title Towards Open-Set Identity Preserving Face Synthesis. authors Jianmin Bao, et al. p \u9854\u753b\u50cf\u304b\u3089identity\u3068attributes\u3092\u5225\u3005\u306b\u518d\u69cb\u6210\u3059\u308b\u3001GAN\u306b\u57fa\u3065\u3044\u305fOpen-Set Identity Generating Adversarial Network\u306e\u63d0\u6848\u3002 face synthesis <a href=\"\/8747.txt\">\u30ad\u30e4\u30ce\u30f3mp\u30ca\u30d3\u30b2\u30fc\u30bf\u30fc windows10.<\/a> p \u9854\u306e\u6b63\u9762\u5316\u3001\u9854\u5c5e\u6027\u30e2\u30fc\u30d5\u30a3\u30f3\u30b0\u3001 face adversarial example detection\u306a\u3069\u3001\u3088\u308a\u5e83\u7bc4\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u5fdc\u7528\u53ef\u80fd\u3002.<\/p>\n<p>title End-to-End Multi-Task Learning with Attention. authors Shikun Liu, Edward Johns, Andrew J. conference submitted to ECCV p \u30b0\u30ed\u30fc\u30d0\u30eb\u7279\u5fb4\u30d7\u30fc\u30eb\u3092\u542b\u3080\u5358\u4e00\u306e\u5171\u6709\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u3001end-to-end\u3067\u5b66\u7fd2\u53ef\u80fd\u306a\u30bf\u30b9\u30af\u56fa\u6709\u306esoft-attention modules\u3067\u69cb\u6210\u3055\u308c\u305f\u3001multi-task learning\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u3042\u308bMulti-Task Attention Network MTAN \u306e\u63d0\u6848\u3002\u56f3\u306e a \u306f\u3001\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3068\u6df1\u5ea6\u63a8\u5b9a\u306e\u30bf\u30b9\u30af\u306e\u305f\u3081\u306e\u3001\u5b66\u7fd2\u3057\u305f\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u30de\u30b9\u30af\u306e\u4f8b\u3002 b \u306f\u3001MTAN\u306e\u6982\u8981\u3002.<\/p>\n<p>p MTAN\u306b\u3088\u3063\u3066\u3001\u30b0\u30ed\u30fc\u30d0\u30eb\u30fb\u30d7\u30fc\u30eb\u304b\u3089\u306e\u30bf\u30b9\u30af\u56fa\u6709\u306e\u6a5f\u80fd\u306e\u5b66\u7fd2\u304c\u53ef\u80fd\u306b\u306a\u308b\u3068\u540c\u6642\u306b\u3001\u7570\u306a\u308b\u30bf\u30b9\u30af\u9593\u3067\u6a5f\u80fd\u3092\u5171\u6709\u3067\u304d\u308b\u3002\u672c\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306f\u3001\u4efb\u610f\u306efeed-forward neural network\u4e0a\u306b\u69cb\u7bc9\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u5b9f\u88c5\u304c\u7c21\u5358\u304b\u3064\u30d1\u30e9\u30e1\u30fc\u30bf\u52b9\u7387\u304c\u826f\u3044\u3002. p CityScapes\u3092\u7528\u3044\u305f\u5b9f\u9a13\u3088\u308a\u3001\u5358\u4e00\u30bf\u30b9\u30af\u3068\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5b66\u7fd2\u306e\u4e21\u65b9\u3067\u3044\u304f\u3064\u304b\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u3088\u308a\u3082\u512a\u308c\u3066\u3044\u308b\u7d50\u679c\u3002. title Unsupervised Textual Grounding: Linking <a href=\"\/40395.txt\">\u0421\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u0435<\/a> to Image Concepts.<\/p>\n<p>authors Raymond A. Yeh, Minh N. Do, <a href=\"\/19159.txt\">\u0410\u0434\u0440\u0435\u0441<\/a> G. p Textual grounding\u3001\u3059\u306a\u308f\u3061\u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3068\u5358\u8a9e\u3092\u30ea\u30f3\u30af\u3055\u305b\u308b\u65e2\u5b58\u306e\u6280\u6cd5\u306f\u3001\u6559\u5e2b\u4ed8\u304d\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3068\u3057\u3066\u5b9a\u5f0f\u5316\u3055\u308c\u3066\u304a\u308a\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u30d0\u30a6\u30f3\u30c7\u30a3\u30f3\u30b0\u30dc\u30c3\u30af\u30b9\u3092\u63a8\u5b9a\u3059\u308b\u3002\u3057\u304b\u3057\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69cb\u7bc9\u306b\u306f\u6642\u9593\u3084\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308b\u306e\u3067\u6559\u5e2b\u306a\u3057\u306e\u624b\u6cd5\u3092\u63d0\u6848\u3002. p ReferIt Game\u3068Flickr30k\u3092\u7528\u3044\u305f\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u305d\u308c\u305e\u308c7. title Motion-Appearance Co-Memory Networks for Video Question Answering. authors Jiyang Gao, Runzhou Ge, Kan Chen, Ram Nevatia.<\/p>\n<p>p \u30d3\u30c7\u30aaQA\u306e\u305f\u3081\u306e\u3001 Dynamic Memory Network DMN \u306e\u30b3\u30f3\u30bb\u30d7\u30c8\u306b\u57fa\u3065\u3044\u305fmotion-appearance comemory network\u306e\u63d0\u6848\u3002\u672c\u7814\u7a76\u306e\u7279\u5fb4\u306f\u6b21\u306e3\u3064\u3067\u3042\u308b\u3002 1 \u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u306b\u52d5\u304d\u3068\u5916\u89b3\u60c5\u5831\u306e\u4e21\u65b9\u3092\u624b\u304c\u304b\u308a\u3068\u3057\u3066\u5229\u7528\u3059\u308b\u5171\u30e1\u30e2\u30ea\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u30e1\u30ab\u30cb\u30ba\u30e0\u3002 <a href=\"\/701.txt\">\u043a\u0430\u043a \u0441\u043e\u043e\u0431\u0449\u0430\u0435\u0442\u0441\u044f \u0437\u0434\u0435\u0441\u044c<\/a> multi-level contextual fact\u3092\u751f\u6210\u3059\u308b\u305f\u3081\u306e\u6642\u9593\u7684conv-deconv network\u3002 3 \u7570\u306a\u308b\u8cea\u554f\u306b\u5bfe\u3057\u3066\u52d5\u7684\u306a\u6642\u9593\u8868\u73fe\u3092\u69cb\u6210\u3059\u308bdynamic fact ensemble method\u3002.<\/p>\n<p>p <a href=\"\/6813.txt\">\u98db\u3073\u7acbwifi\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9windows10<\/a> QA\u7279\u6709\u306e\u5c5e\u6027\u306b\u57fa\u3065\u3044\u3066\u3044\u308b\u3002 1 \u8c4a\u5bcc\u306a\u60c5\u5831\u3092\u542b\u3080\u9577\u3044\u753b\u50cf\u30b7\u30fc\u30b1\u30f3\u30b9\u3092\u6271\u3046\u3002 2 \u52d5\u304d\u60c5\u5831\u3068\u51fa\u73fe\u60c5\u5831\u3092\u76f8\u4e92\u306b\u95a2\u9023\u4ed8\u3051\u3001\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u30ad\u30e5\u30fc\u3092\u4ed6\u306e\u60c5\u5831\u306b\u5fdc\u7528\u3067\u304d\u308b\u3002 3 \u7b54\u3048\u3092\u63a8\u8ad6\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u30d5\u30ec\u30fc\u30e0\u6570\u306f\u8cea\u554f\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u3002. p TGIF-QA\u306e4\u3064\u306e\u30bf\u30b9\u30af\u3059\u3079\u3066\u306b\u304a\u3044\u3066\u3001\u6700\u5148\u7aef\u6280\u8853\u3088\u308a\u3082\u512a\u308c\u3066\u3044\u308b\u3002. title Context-aware Synthesis for Video Frame Interpolation. authors Simon Niklaus, Feng Liu. p \u5165\u529b\u30d5\u30ec\u30fc\u30e0\u3060\u3051\u3067\u306a\u304f\u3001\u30d4\u30af\u30bb\u30eb\u5358\u4f4d\u306e\u6587\u8108\u60c5\u5831\u3092\u7528\u3044\u3066\u3001\u9ad8\u54c1\u8cea\u306e\u4e2d\u9593\u30d5\u30ec\u30fc\u30e0\u3092\u88dc\u9593\u3059\u308b\u305f\u3081\u306e\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u8a8d\u8b58\u624b\u6cd5\u306e\u63d0\u6848\u3002\u307e\u305a\u3001\u30d7\u30ec\u30c8\u30ec\u30a4\u30f3\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u3001\u5165\u529b\u30d5\u30ec\u30fc\u30e0\u306e\u30d4\u30af\u30bb\u30eb\u3054\u3068\u306e\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u60c5\u5831\u3092\u62bd\u51fa\u3002\u30aa\u30d7\u30c6\u30a3\u30ab\u30eb\u30d5\u30ed\u30fc\u3092\u4f7f\u7528\u3057\u3066\u3001\u53cc\u65b9\u5411\u30d5\u30ed\u30fc\u3092\u63a8\u5b9a\u3057\u3001\u5165\u529b\u30d5\u30ec\u30fc\u30e0\u3068\u305d\u306e\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u30de\u30c3\u30d7\u306e\u4e21\u65b9\u3092\u30ef\u30fc\u30d7\u3059\u308b\u3002\u6700\u5f8c\u306b\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u30de\u30c3\u30d7\u3092synthesis network\u306b\u5165\u529b\u3057\u3001\u88dc\u9593\u30d5\u30ec\u30fc\u30e0\u3092\u751f\u6210\u3002.<\/p>\n<p>p \u5f93\u6765\u306e\u30d3\u30c7\u30aa\u30d5\u30ec\u30fc\u30e0\u88dc\u9593\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u30aa\u30d7\u30c6\u30a3\u30ab\u30eb\u30d5\u30ed\u30fc\u307e\u305f\u306f\u305d\u306e\u5909\u52d5\u3092\u63a8\u5b9a\u3057\u3001\u305d\u308c\u3092\u7528\u3044\u30662\u3064\u306e\u30d5\u30ec\u30fc\u30e0\u9593\u306e\u4e2d\u9593\u30d5\u30ec\u30fc\u30e0\u3092\u751f\u6210\u3059\u308b\u3002\u672c\u624b\u6cd5\u3067\u306f\u3001 2\u3064\u306e\u5165\u529b\u30d5\u30ec\u30fc\u30e0\u9593\u306e\u53cc\u65b9\u5411\u30d5\u30ed\u30fc\u3092\u63a8\u5b9a\u3057\u3001\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u8a8d\u8b58\u3068\u3044\u3046\u65b9\u5f0f\u3092\u3068\u308b\u3053\u3068\u3067\u7cbe\u5ea6\u5411\u4e0a\u3092\u56f3\u308b\u3002. p \u9ad8\u54c1\u8cea\u306e\u30d3\u30c7\u30aa\u30d5\u30ec\u30fc\u30e0\u88dc\u9593\u5b9f\u9a13\u306b\u304a\u3044\u3066\u3001\u5f93\u6765\u3092\u4e0a\u56de\u308b\u6027\u80fd\u3002. title Referring Relationships. authors Ranjay Krishna, Ines Chami, Michael Bernstein, Li Fei-Fei. p referring relationships\u3092\u5229\u7528\u3057\u3066\u540c\u30ab\u30c6\u30b4\u30ea\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u9593\u306e\u66d6\u6627\u3055\u3092\u89e3\u6d88\u3059\u308b\u30bf\u30b9\u30af\u306e\u63d0\u6848\u3002\u7279\u5fb4\u62bd\u51fa\u5f8c\u3001\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u751f\u6210\u3002\u8ff0\u8a9e\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u3092\u30b7\u30d5\u30c8\u3055\u305b\u308b\u3002\u3053\u306e\u8ff0\u8a9e\u30b7\u30d5\u30c8\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u4ecb\u3057\u3066\u3001subject\u3068object\u306e\u9593\u3067\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u53cd\u5fa9\u7684\u306b\u6e21\u3059\u3053\u3068\u3067\u30012\u3064\u306e\u30a8\u30f3\u30c6\u30a3\u30c6\u30a3\u3092\u30ed\u30fc\u30ab\u30e9\u30a4\u30ba\u3002. title HDLTex: Hierarchical Deep Learning for Text Classification.<\/p>\n<p>authors Kamran Kowsari, et al. conference ICMLA p \u30c6\u30ad\u30b9\u30c8\u306e\u691c\u7d22\u3084\u6574\u7406\u306e\u305f\u3081\u306e\u60c5\u5831\u51e6\u7406\u65b9\u6cd5\u306e\u6539\u5584\u304c\u5fc5\u8981\u3068\u306a\u3063\u3066\u304a\u308a\u3001\u6587\u66f8\u5206\u985e\u304c\u91cd\u8981\u3002\u5f93\u6765\u306e\u5206\u985e\u5668\u306e\u6027\u80fd\u306f\u3001\u6587\u66f8\u306e\u6570\u304c\u5897\u3048\u308b\u306b\u3064\u308c\u3066\u4f4e\u4e0b\u50be\u5411\u306b\u3042\u308a\u3001\u3053\u308c\u306f\u30ab\u30c6\u30b4\u30ea\u6570\u304c\u5897\u52a0\u3057\u305f\u305f\u3081\u3060\u3068\u6307\u6458\u3002\u305d\u3053\u3067\u3001\u3053\u306e\u554f\u984c\u3092\u591a\u30af\u30e9\u30b9\u5206\u985e\u3068\u898b\u306a\u3059\u5f93\u6765\u306e\u6587\u66f8\u5206\u985e\u65b9\u6cd5\u3068\u306f\u7570\u306a\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u63d0\u6848\u3002.<\/p>\n<p>title Who Let The Dogs Out? Modeling Dog Behavior From Visual Data. authors Kiana Ehsani, et al. p \u72ac\u8996\u70b9\u306e\u5927\u898f\u6a21\u30d3\u30c7\u30aa\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u305f\u3001\u72ac\u306e\u884c\u52d5\u3084\u884c\u52d5\u8a08\u753b\u306e\u30e2\u30c7\u30eb\u5316\u3002\u6b21\u306e3\u3064\u306e\u554f\u984c\u306b\u7126\u70b9\u3092\u5f53\u3066\u308b\u3002 adobe illustrator cc 2018 application leid \u81ea\u7531 \u72ac\u306e\u884c\u52d5\u4e88\u6e2c\u3002 2 \u5165\u529b\u3055\u308c\u305f\u753b\u50cf\u5bfe\u304b\u3089\u72ac\u306e\u3088\u3046\u306a\u884c\u52d5\u8a08\u753b\u3092\u898b\u51fa\u3059\u3002 3 \u4f8b\u3048\u3070\u3001\u6b69\u884c\u53ef\u80fd\u306a\u8868\u9762\u63a8\u5b9a\u306a\u3069\u306e\u30bf\u30b9\u30af\u306b\u3064\u3044\u3066\u3001\u5b66\u7fd2\u3055\u308c\u305f\u8868\u73fe\u3092\u5229\u7528\u3002.<\/p>\n<p>p \u8996\u899a\u60c5\u5831\u304b\u3089intelligent agent \u77e5\u7684\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8 \u3092\u76f4\u63a5\u7684\u306b\u30e2\u30c7\u30ea\u30f3\u30b0\u3059\u308b\u30bf\u30b9\u30af\u3002\u72ac\u306e\u8996\u899a\u60c5\u5831\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u884c\u52d5\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u65ac\u65b0\u306a\u53d6\u308a\u7d44\u307f\u3002\u5f97\u3089\u308c\u305f\u30e2\u30c7\u30eb\u3092AI\u306a\u3069\u306b\u5fdc\u7528\u3059\u308b\u3002\u7279\u306b\u3001\u6b69\u884c\u53ef\u80fd\u306a\u8868\u9762\u63a8\u5b9a\u306e\u30bf\u30b9\u30af\u3067\u826f\u3044\u7d50\u679c\u3068\u306a\u308b\u3002.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Looking for: Adobe illustrator cc 2018 application leid \u81ea\u7531 Click here to Download &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[223],"tags":[],"class_list":["post-7488","post","type-post","status-publish","format-standard","hentry","category-silm"],"_links":{"self":[{"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/posts\/7488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/comments?post=7488"}],"version-history":[{"count":0,"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/posts\/7488\/revisions"}],"wp:attachment":[{"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/media?parent=7488"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/categories?post=7488"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carconfort.ro\/index.php\/wp-json\/wp\/v2\/tags?post=7488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}