{"version":"1.0","author_name":"misos","blog_title":"\u3081\u3082","description":"\u8aad\u3080\u8ad6\u6587\uff1aReading text in the wild with convolutional neural networks [pdf] [1] Text spotting \u3068\u306f \u63d0\u6848\u624b\u6cd5\u306e\u6d41\u308c \u30b9\u30c6\u30c3\u30d71: \u5019\u88dc\u9818\u57df\u306e\u9078\u629e Edge Boxes[3] \u5165\u529b\u753b\u50cf Edge box \u3092\u4f7f\u3063\u305f\u6642\u306e\u7269\u4f53\u8a8d\u8b58\u306e\u30a4\u30e1\u30fc\u30b8 Weak aggregate channel features detector \u30b9\u30c6\u30c3\u30d72: \u5019\u88dc\u9818\u57df\u306e\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0 Word Classification Bounding Box Regression [2] \u30b9\u30c6\u30c3\u30d73: \u6587\u5b57\u8a8d\u8b58 ICDAR(International \u2026","published":"2016-08-21 20:42:58","url":"https://paper.hatenadiary.jp/entry/2016/08/21/204258","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/m/misos/20160821/20160821215922.png","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpaper.hatenadiary.jp%2Fentry%2F2016%2F08%2F21%2F204258\" title=\"CNN\u3092\u3082\u3061\u3044\u3066\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u6587\u5b57\u306e\u8a8d\u8b58\u3092\u884c\u3046 - \u3081\u3082\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/misos/","type":"rich","categories":["\u66f8\u304d\u304b\u3051","\u753b\u50cf\u51e6\u7406"],"height":"190","title":"CNN\u3092\u3082\u3061\u3044\u3066\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u6587\u5b57\u306e\u8a8d\u8b58\u3092\u884c\u3046","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","width":"100%","blog_url":"https://paper.hatenadiary.jp/"}