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Disentangling Label Distribution for Long-tailed Visual Recognition
v1v2 (latest)

Disentangling Label Distribution for Long-tailed Visual Recognition

Computer Vision and Pattern Recognition (CVPR), 2020
1 December 2020
Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
ArXiv (abs)PDFHTML

Papers citing "Disentangling Label Distribution for Long-tailed Visual Recognition"

50 / 150 papers shown
Salient Concept-Aware Generative Data Augmentation
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Xuanbai Chen
Zhihua Li
J. Fang
Dongsheng An
Xiang Xu
Zhuowen Tu
Yifan Xing
DiffM
234
0
0
16 Oct 2025
Pure Node Selection for Imbalanced Graph Node Classification
Pure Node Selection for Imbalanced Graph Node Classification
Fanlong Zeng
Wensheng Gan
Jiayang Wu
Philip S. Yu
101
0
0
28 Sep 2025
Optimizing Class Distributions for Bias-Aware Multi-Class Learning
Optimizing Class Distributions for Bias-Aware Multi-Class Learning
Mirco Felske
Stefan Stiene
182
0
0
15 Sep 2025
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
Yifan Lan
Xin Cai
Jun Cheng
Shan Tan
156
0
0
01 Sep 2025
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Xiaolei Wei
Yi Ouyang
Haibo Ye
MoMe
178
0
0
27 Aug 2025
Curvature Learning for Generalization of Hyperbolic Neural Networks
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
252
3
0
24 Aug 2025
OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System
OASIS: Open-world Adaptive Self-supervised and Imbalanced-aware System
Miru Kim
Mugon Joe
Minhae Kwon
VLM
183
0
0
20 Aug 2025
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
Tianle Li
Yongzhi Huang
Linshan Jiang
Qipeng Xie
Chang Liu
Wenfeng Du
Lu Wang
Kaishun Wu
FedML
180
0
0
20 Jul 2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
Shan Shen
Shenglu Hua
Jiajun Zou
Jiawei Liu
Jianwang Zhai
Chuan Shi
Wenjian Yu
349
0
0
09 Jul 2025
Generalized Category Discovery under the Long-Tailed Distribution
Generalized Category Discovery under the Long-Tailed Distribution
Bingchen Zhao
Kai Han
336
1
0
14 Jun 2025
Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression
Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression
Yung-Chien Wang
Kuang-Da Wang
Wei-Yao Wang
Wen-Chih Peng
MoE
210
0
0
08 Jun 2025
Aligned Contrastive Loss for Long-Tailed Recognition
Aligned Contrastive Loss for Long-Tailed Recognition
Jiali Ma
Jiequan Cui
Maeno Kazuki
Lakshmi Subramanian
Karlekar Jayashree
Sugiri Pranata
Hanwang Zhang
223
0
0
01 Jun 2025
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
Mengke Li
Zhikai Hu
Yang Lu
Weichao Lan
Yiu-ming Cheung
Hui Huang
172
0
0
31 May 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
293
0
0
24 May 2025
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image ClassificationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Xiaoshuo Yan
Zerui Li
Lei Meng
Zhuang Qi
Wei Wu
Zixuan Li
Xiangxu Meng
CMLBDL
315
2
0
13 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
Li Zhang
Xiaochun Cao
Qingming Huang
412
4
0
03 May 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
Jiang-Xin Shi
Tong Wei
Yu-Feng Li
222
2
0
17 Apr 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
299
0
0
14 Mar 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node ClassificationThe Web Conference (WWW), 2025
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
400
5
0
10 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
277
0
0
02 Feb 2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li
Ruqi Zhang
962
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0
23 Jan 2025
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
Prior2Posterior: Model Prior Correction for Long-Tailed LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
S Divakar Bhat
Amit More
Mudit Soni
Surbhi Agrawal
307
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0
21 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Difficulty-aware Balancing Margin Loss for Long-tailed RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2024
Minseok Son
Inyong Koo
Jinyoung Park
Changick Kim
284
6
0
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Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
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1.0K
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Revisiting Long-Tailed Learning: Insights from an Architectural Perspective
Revisiting Long-Tailed Learning: Insights from an Architectural Perspective
Yuhan Pan
Yanan Sun
Wei Gong
418
1
0
09 Nov 2024
Dataset Awareness is not Enough: Implementing Sample-level Tail
  Encouragement in Long-tailed Self-supervised Learning
Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning
Haowen Xiao
Guanghui Liu
Xinyi Gao
Yang Li
Fengmao Lv
Jielei Chu
396
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30 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution
  Learning and Bias Correcting
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias CorrectingNeural Information Processing Systems (NeurIPS), 2024
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
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VLMVPVLM
354
19
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25 Oct 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detectionComputer Vision and Pattern Recognition (CVPR), 2024
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
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Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionNeural Information Processing Systems (NeurIPS), 2024
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
238
9
0
08 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
345
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0
02 Oct 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated
  Long-Tailed Learning
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed LearningAsian Conference on Machine Learning (ACML), 2024
Xiuhua Lu
Peng Li
Xuefeng Jiang
FedML
278
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0
18 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on
  Imbalanced Classification
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Zhiwei Zhang
198
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Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to
  Tail
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to TailAAAI Conference on Artificial Intelligence (AAAI), 2024
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
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OODD
368
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Personalized Federated Learning on Heterogeneous and Long-Tailed Data
  via Expert Collaborative Learning
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A Systematic Review on Long-Tailed LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
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Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
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Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
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Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
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Harnessing Hierarchical Label Distribution Variations in Test Agnostic
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Zitai Wang
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Boosting Model Resilience via Implicit Adversarial Data Augmentation
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