Circle Loss: A Unified Perspective of Pair Similarity Optimization

25 Feb 2020Yifan SunChangmao ChengYuhan ZhangChi ZhangLiang ZhengZhongdao WangYichen Wei

This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$. We find a majority of loss functions, including the triplet loss and the softmax plus cross-entropy loss, embed $s_n$ and $s_p$ into similarity pairs and seek to reduce $(s_n-s_p)$... (read more)

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