ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating

  title={ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating},
  author={Binghui Chen and Weihong Deng},
Deep embedding learning becomes more attractive for discriminative feature learning, but many methods still require hard-class mining, which is computationally complex and performance-sensitive. To this end, we propose Adaptive Large Margin N-Pair loss (ALMN) to address the aforementioned issues. Instead of exploring hard examplemining strategy, we introduce the concept of large margin constraint. This constraint aims at encouraging local-adaptive large angular decision margin among dissimilar… CONTINUE READING
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