论文理解《Class-Agnostic Counting》
code https://github.com/erikalu/class-agnostic-counting 解决问题：建立一个适用于任何物体类别的计数模型； 解决方法：将计数问题转化为匹配问题，挖掘图的自相似性； 主要贡献： 1.提出Generic Matching Network(GMN)，可按类未知方法进行计数； 2.将计数问题重定义为物体匹配问题，可充分利用大量丰富的已标注的视频帧数据（
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