Rethinking the Value of Labels for Improving Class-Imbalanced Learning (NeurIPS2020) [paper] [code]
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification (ECCV2020) [paper]
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier (ECCV2020) [paper]
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets (ECCV2020) [paper]
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation (ECCV2020) [paper]
Feature Space Augmentation for Long-Tailed Data (ECCV2020) [paper]
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective (CVPR2020) [paper]
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition (CVPR2020) [paper]
Deep Representation Domain Balancing: Face Recognition on Long-Tailed Domains (CVPR2020) [paper]
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective (CVPR2020) [paper]
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition (CVPR2020) [paper]
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax (CVPR2020) [paper]
Equalization Loss for Long-Tailed Object Recognition (CVPR2020) [paper]
M2m: Imbalanced Classification via Major-to-Minor Translation (CVPR2020) [paper]
Deep Generative Model for Robust Imbalance Classification (CVPR2020) [paper]
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels (CVPR2020) [paper]
Decoupling Representation and Classifier for Long-Tailed Recognition (ICLR2020) [paper]
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