Abstract:Deep learning has achieved remarkable progress for visual recognition on balanced data sets but still performs poorly on real‐world long‐tailed data distribution. The existing methods mainly decouple the problem into the two‐stage decoupling training, that is, representation learning and classifier training, or multistage training based on knowledge distillation, thus resulting in huge training steps and extra computation cost. In this paper, we propose a conceptually simple yet effective One‐stage Long‐tailed… Show more
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