There are 3 repositories under long-tailed-recognition topic.
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
A curated list of long-tailed recognition resources.
CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Improving Calibration for Long-Tailed Recognition (CVPR2021)
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197
[ICML2022] Contrastive Learning with Boosted Memorization
Papers about long-tailed tasks
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
[ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
[ICCV 2021] MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)
[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang
[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
Source Code & Datasets for "FBL: Feature-Balanced Loss for Long-Tailed Visual Recognition"
Official implementation of 'Gumbel Optimised Loss for Long Tailed Instance Segmentation' ECCV2022. Paper at: https://arxiv.org/abs/2207.10936
Inverse Image Frequency for long-tailed image recognition. Accepted in Transactions on Image Processing - Arxiv version available at: https://arxiv.org/abs/2209.04861
Learning Imbalanced Datasets With Maximum Margin Losss
🐝 Explore Trending Long-Tail Papers at CVPR and ICCV
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
Code for our GCPR 20 paper 'Long-Tailed Recognition Using Class-Balanced Experts'
Probabilistic Debiasing of Scene Graphs (CVPR 2023)
An attention-based solution on a long-tailed 3D point cloud dataset