[ICML 2022] "Contrastive Learning with Boosted Memorization"
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Updated
Jul 16, 2022 - Python
[ICML 2022] "Contrastive Learning with Boosted Memorization"
An attention-based solution on long-tail 3D point cloud semantic segmentation tasks.
ICLR 2024 - Official implementation for "Exploring Weight Balancing on Long-Tailed Recognition Problem"
[ICLR 2024] [Spotlight]Code for our paper SelMix: Selective Mixup FineTuning
Code for our GCPR 20 paper 'Long-Tailed Recognition Using Class-Balanced Experts'
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
VLG: General Video Recognition with Web Textual Knowledge (https://arxiv.org/abs/2212.01638)
Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
Official PyTorch Repository of "Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition" (AAAI 2023 Oral Paper) and Imbalanced-MiniKinetics200 dataset.
Inverse Image Frequency for long-tailed image recognition. Accepted in Transactions on Image Processing - Arxiv version available at: https://arxiv.org/abs/2209.04861
This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".
Source Code & Datasets for "FBL: Feature-Balanced Loss for Long-Tailed Visual Recognition"
[ECCV2022] Source Code for "Improving GANs for Long-Tailed Data through Group Spectral Regularization"
Official implementation of 'Gumbel Optimised Loss for Long Tailed Instance Segmentation' ECCV2022. Paper at: https://arxiv.org/abs/2207.10936
Official PyTorch implementation of RIO
Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強
[ICCV 2021] Self Supervision to Distillation for Long-Tailed Visual Recognition
[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
[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
[CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"
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