Rethinking preventing class-collapsing in metric learning with margin-based losses

Elad Levi, Tete Xiao, Xiaolong Wang +1

Metric learning seeks perceptual embeddings where visually similar instances are close and dissimilar instances are apart, but learned representations can be sub-optimal when the d…