Balanced Contrastive Learning for Long-Tailed Visual Recognition

19 July 2022

Papers citing "Balanced Contrastive Learning for Long-Tailed Visual Recognition"

22 / 22 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 51 0 0 03 May 2025
Enhancing Features in Long-tailed Data Using Large Vision Model Pengxiao Han Changkun Ye Jinguang Tong Cuicui Jiang Jie Hong Li Fang Xuesong Li VLM 29 0 0 15 Apr 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution Jiahao Chen Bin Qin Jiangmeng Li Hao Chen Bing-Huang Su 77 0 0 27 Jan 2025
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 43 0 0 15 Oct 2024
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning Tianhang Pan Zhuoran Zheng 48 0 0 12 Aug 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding Thanh-Dat Truong Utsav Prabhu Bhiksha Raj Jackson Cothren Khoa Luu CLL 29 3 0 27 Nov 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 19 3 0 28 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 13 15 0 04 Aug 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 11 2 0 23 Jun 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 29 4 0 06 Jun 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 16 29 0 10 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 18 1 0 07 Feb 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 124 44 0 03 Jan 2023
Few-shot Object Detection with Refined Contrastive Learning Zeyu Shangguan Lian Huai Tong Liu Xingqun Jiang 17 7 0 24 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 23 1 0 22 Nov 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 117 162 0 29 Jan 2021
Self-supervised Co-training for Video Representation Learning Tengda Han Weidi Xie Andrew Zisserman SSL 198 304 0 19 Oct 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 157 541 0 21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 237 455 0 11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016