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Found 2 papers, 1 papers with code
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
Therefore, in this paper, we propose a simple yet effective model, named Dual-Branch Long-Tailed Recognition (DB-LTR), which includes an imbalanced learning branch and a Contrastive Learning Branch (CoLB).
Deep Reinforcement Learning for Imbalanced Classification
The agent finally finds an optimal classification policy in imbalanced data under the guidance of specific reward function and beneficial learning environment.
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