{"type":"rich","url":"https://akiomik.hatenablog.jp/entry/2016/01/10/230118","author_url":"https://blog.hatena.ne.jp/akiomik/","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fakiomik.hatenablog.jp%2Fentry%2F2016%2F01%2F10%2F230118\" title=\"Fully Convolutional Networks for Semantic Segmentation\u306ecaffe\u5b9f\u88c5\u3092\u8a66\u3059 - \u304a\u307f\u30d6\u30edZ\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"Fully Convolutional Networks for Semantic Segmentation\u306ecaffe\u5b9f\u88c5\u3092\u8a66\u3059","blog_title":"\u304a\u307f\u30d6\u30edZ","description":"\u6982\u8981 Fully Convolutional Networks for Semantic Segmentation (PDF)\u306ecaffe\u5b9f\u88c5\u3092\u52d5\u304b\u3057\u3066\u307f\u308b\u3002 \u30e2\u30c7\u30eb\u306f\u5b66\u7fd2\u30c7\u30fc\u30bf\u3068stride\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u3063\u3066\u5e7e\u3064\u304b\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u3002 Model Zoo \u00b7 BVLC/caffe Wiki \u00b7 GitHub \u3053\u306e\u3046\u3061\u3001\u4eca\u56de\u306fFCN-8s PASCAL-Context\u3092\u8a66\u3059\u3002 pascal-context\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u306f59\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u30681\u3064\u306e\u80cc\u666f\u3001\u8a0860\u30af\u30e9\u30b9\u306b\u5206\u985e\u3055\u308c\u308b\u3002 http://www.cs.stanford.edu/~roozbeh/pascal-context/59\u2026","image_url":"https://raw.githubusercontent.com/zukun/rcc/master/shape_sharing/code_release/pascal/VOC2010/JPEGImages/2007_000129.jpg","height":"190","provider_name":"Hatena Blog","categories":["caffe","deep learning"],"author_name":"akiomik","blog_url":"https://akiomik.hatenablog.jp/","published":"2016-01-10 23:01:18","width":"100%","version":"1.0"}