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search.xml
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search.xml
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<?xml version="1.0" encoding="utf-8"?>
<search>
<entry>
<title><![CDATA[Schedule of recent work]]></title>
<url>%2F2018%2F02%2F06%2FRecent-work%2F</url>
<content type="text"><![CDATA[Recent workSpeedy object detectionrelated work: yolov2 mask r-cnn instance segmentation 任务1.add a instance segmentation branch to yolov2 在yolo划分出来的每个小grid中进行一部分的seg(感觉不太科学),总之就是加seg,且要求speed/acc trade-off合理yolov2是single stage的方法,同SSD,而RCNN类的都是two stage 的方法,想要学习mask rcnn中的方法给yolo加个segmentation的branch,感觉有点难? todo-list: read and analyse the paper of YOLOv2 and mask rcnn read and analyse the code of YOLOv2 and mask rcnn which inplemented by Pytorch or TF(hard) try to add a instance segmentation branch to YOLOv2,like mask rcnn do to faster rcnn]]></content>
<categories>
<category>Study</category>
<category>Schedule</category>
</categories>
<tags>
<tag>Schedule</tag>
</tags>
</entry>
<entry>
<title><![CDATA[Notes of Related work(YOLO & Mask R-CNN)]]></title>
<url>%2F2018%2F02%2F06%2FNotes-of-YOLOv2%2F</url>
<content type="text"><![CDATA[Paper Notes of YOLO and Mask R-CNNMaterialYOLO: YOLO 论文阅读YOLO YOLOv2: YOLO: Real-Time Object Detection - Joseph Redmon YOLOv2 详解 YOLOv2 论文笔记 code: YOLOv2 in PyTorch RCNN: Mask R-CNN code:Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow]]></content>
<categories>
<category>Study</category>
<category>Notes</category>
</categories>
<tags>
<tag>Study</tag>
<tag>Paper</tag>
<tag>Detection</tag>
</tags>
</entry>
<entry>
<title><![CDATA[你好,世界!]]></title>
<url>%2F2018%2F02%2F03%2F%E4%BD%A0%E5%A5%BD%EF%BC%8C%E4%B8%96%E7%95%8C%2F</url>
<content type="text"><![CDATA[这是我在HEXO上的第一个POST 只是测试一下]]></content>
<categories>
<category>Test</category>
</categories>
<tags>
<tag>Test</tag>
</tags>
</entry>
</search>