Sinha, S.[Saptarshi],
Ohashi, H.[Hiroki],
Nakamura, K.[Katsuyuki],
Class-Difficulty Based Methods for Long-Tailed Visual Recognition,
IJCV(130), No. 10, October 2022, pp. 2517-2531.
Springer DOI
2209
BibRef
Earlier:
Class-wise Difficulty-balanced Loss for Solving Class-imbalance,
ACCV20(VI:549-565).
Springer DOI
2103
BibRef
Sinha, S.[Saptarshi],
Ohashi, H.[Hiroki],
Difficulty-Net:
Learning to Predict Difficulty for Long-Tailed Recognition,
WACV23(6433-6442)
IEEE DOI
2302
Training, Codes, Tail, Predictive models,
Algorithms: Machine learning architectures, formulations,
ethical computer vision
BibRef
Wang, W.Q.[Wei-Qiu],
Zhao, Z.C.[Zhi-Cheng],
Wang, P.[Pingyu],
Su, F.[Fei],
Meng, H.Y.[Hong-Ying],
Attentive Feature Augmentation for Long-Tailed Visual Recognition,
CirSysVideo(32), No. 9, September 2022, pp. 5803-5816.
IEEE DOI
2209
Visualization, Head, Image recognition, Task analysis,
Feature extraction, Data models, Training, Image classification,
data synthesizing
BibRef
Zhang, M.L.[Ming-Liang],
Zhang, X.Y.[Xu-Yao],
Wang, C.[Chuang],
Liu, C.L.[Cheng-Lin],
Towards prior gap and representation gap for long-tailed recognition,
PR(133), 2023, pp. 109012.
Elsevier DOI
2210
Long-tailed learning, Prior gap, Representation gap, Image recognition
BibRef
Liu, J.H.[Jia-Hang],
Feng, R.[Ruilei],
Chen, P.[Peng],
Wang, X.Z.[Xiao-Zhen],
Ni, Y.[Yue],
Dynamic Loss Reweighting Method Based on Cumulative Classification
Scores for Long-Tailed Remote Sensing Image Classification,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Cui, J.Q.[Jie-Quan],
Liu, S.[Shu],
Tian, Z.T.[Zhuo-Tao],
Zhong, Z.S.[Zhi-Sheng],
Jia, J.Y.[Jia-Ya],
ResLT: Residual Learning for Long-Tailed Recognition,
PAMI(45), No. 3, March 2023, pp. 3695-3706.
IEEE DOI
2302
Tail, Head, Training, Magnetic heads, Image recognition, Transfer learning,
Representation learning, Residual learning, long-tailed recognition
BibRef
Zhao, X.Q.[Xin-Qiao],
Xiao, J.[Jimin],
Yu, S.Y.[Si-Yue],
Li, H.[Hui],
Zhang, B.F.[Bing-Feng],
Weight-guided class complementing for long-tailed image recognition,
PR(138), 2023, pp. 109374.
Elsevier DOI
2303
Image recognition, Long-tailed distribution, Gradient shift,
Weight-guided method
BibRef
Li, M.K.[Meng-Ke],
Cheung, Y.M.[Yiu-Ming],
Hu, Z.K.[Zhi-Kai],
Key Point Sensitive Loss for Long-Tailed Visual Recognition,
PAMI(45), No. 4, April 2023, pp. 4812-4825.
IEEE DOI
2303
Tail, Training, Head, Optimization, Visualization, Magnetic heads,
Training data, Long-tailed classification,
imbalance learning
BibRef
Tiong, A.M.H.[Anthony Meng Huat],
Li, J.[Junnan],
Lin, G.S.[Guo-Sheng],
Li, B.Y.[Bo-Yang],
Xiong, C.M.[Cai-Ming],
Hoi, S.C.H.[Steven C.H.],
Improving Tail-Class Representation with Centroid Contrastive
Learning,
PRL(168), 2023, pp. 123-130.
Elsevier DOI
2304
Long-tailed classification, Imbalanced learning,
Contrastive learning, Deep learning
BibRef
Xiang, L.[Liuyu],
Han, J.G.[Jun-Gong],
Ding, G.[Guiguang],
Margin-aware rectified augmentation for long-tailed recognition,
PR(141), 2023, pp. 109608.
Elsevier DOI
2306
Long-tailed recognition, Data augmentation, Mixup
BibRef
Guan, Q.J.[Qing-Ji],
Li, Z.Z.[Zhuang-Zhuang],
Zhang, J.[Jiayu],
Huang, Y.P.[Ya-Ping],
Zhao, Y.[Yao],
Joint representation and classifier learning for long-tailed image
classification,
IVC(137), 2023, pp. 104759.
Elsevier DOI
2309
Long-tailed image classification, Representation learning,
Classifier learning, Supervised contrastive learning
BibRef
Kim, D.J.[Dong-Jin],
Ke, T.W.[Tsung-Wei],
Yu, S.X.[Stella X.],
Local pseudo-attributes for long-tailed recognition,
PRL(172), 2023, pp. 51-57.
Elsevier DOI
2309
Long-tailed recognition, Pseudo-attributes, Self-supervised learning
BibRef
Zhang, Y.F.[Yi-Fan],
Kang, B.Y.[Bing-Yi],
Hooi, B.[Bryan],
Yan, S.C.[Shui-Cheng],
Feng, J.S.[Jia-Shi],
Deep Long-Tailed Learning: A Survey,
PAMI(45), No. 9, September 2023, pp. 10795-10816.
IEEE DOI
2309
Survey, Long-Tailed.
BibRef
Zhou, X.S.[Xue-Song],
Zhai, J.H.[Jun-Hai],
Cao, Y.[Yang],
Feature fusion network for long-tailed visual recognition,
PR(144), 2023, pp. 109827.
Elsevier DOI
2310
Long-tailed learning, Head and tail classes,
Feature representations, Feature fusion network
BibRef
Liu, W.[Weide],
Wu, Z.H.[Zhong-Hua],
Wang, Y.M.[Yi-Ming],
Ding, H.H.[Heng-Hui],
Liu, F.[Fayao],
Lin, J.[Jie],
Lin, G.S.[Guo-Sheng],
LCReg: Long-tailed image classification with Latent Categories based
Recognition,
PR(145), 2024, pp. 109971.
Elsevier DOI
2311
Long-tailed, Image classification, Latent Categories
BibRef
Zhao, W.[Wei],
Zhao, H.[Hong],
Hierarchical long-tailed classification based on multi-granularity
knowledge transfer driven by multi-scale feature fusion,
PR(145), 2024, pp. 109842.
Elsevier DOI
2311
Long-tailed learning, Hierarchical classification,
Multi-granularity, Multi-scale feature fusion, Knowledge transfer
BibRef
Alexandridis, K.P.[Konstantinos Panagiotis],
Luo, S.[Shan],
Nguyen, A.[Anh],
Deng, J.K.[Jian-Kang],
Zafeiriou, S.[Stefanos],
Inverse Image Frequency for Long-Tailed Image Recognition,
IP(32), 2023, pp. 5721-5736.
IEEE DOI Code:
WWW Link.
2311
BibRef
Tan, Z.C.[Zi-Chang],
Li, J.[Jun],
Du, J.H.[Jin-Hao],
Wan, J.[Jun],
Lei, Z.[Zhen],
Guo, G.D.[Guo-Dong],
NCL++: Nested Collaborative Learning for long-tailed visual
recognition,
PR(147), 2024, pp. 110064.
Elsevier DOI
2312
BibRef
Earlier: A2, A1, A4, A5, A6, Only:
Nested Collaborative Learning for Long-Tailed Visual Recognition,
CVPR22(6939-6948)
IEEE DOI
2210
Long-tailed visual recognition, Collaborative learning,
Online distillation, Deep learning.
Training, Representation learning, Visualization, Uncertainty, Codes,
Supervised learning, Transfer/low-shot/long-tail learning, retrieval
BibRef
Baik, J.S.[Jae Soon],
Yoon, I.Y.[In Young],
Choi, J.W.[Jun Won],
DBN-Mix: Training dual branch network using bilateral mixup
augmentation for long-tailed visual recognition,
PR(147), 2024, pp. 110107.
Elsevier DOI
2312
Long-tailed visual recognition, Class imbalance,
Image classification, Mixup augmentation, Temperature scaling
BibRef
Du, Y.J.[Ying-Jun],
Sun, H.L.[Hao-Liang],
Zhen, X.T.[Xian-Tong],
Xu, J.[Jun],
Yin, Y.L.[Yi-Long],
Shao, L.[Ling],
Snoek, C.G.M.[Cees G. M.],
MetaKernel: Learning Variational Random Features With Limited Labels,
PAMI(46), No. 3, March 2024, pp. 1464-1478.
IEEE DOI
2402
Task analysis, Kernel, Adaptation models, Prototypes, Optimization,
Neural networks, Memory modules, Meta learning, few-shot learning,
random features
BibRef
Du, Y.J.[Ying-Jun],
Shen, J.Y.[Jia-Yi],
Zhen, X.T.[Xian-Tong],
Snoek, C.G.M.[Cees G. M.],
SuperDisco: Super-Class Discovery Improves Visual Recognition for the
Long-Tail,
CVPR23(19944-19954)
IEEE DOI
2309
BibRef
Xu, Z.Z.[Zheng-Zhuo],
Chai, Z.H.[Zeng-Hao],
Xu, C.Y.[Cheng-Yin],
Yuan, C.[Chun],
Yang, H.Q.[Hai-Qin],
Towards Effective Collaborative Learning in Long-Tailed Recognition,
MultMed(26), 2024, pp. 3754-3764.
IEEE DOI
2402
Tail, Federated learning, Task analysis, Uncertainty, Training, Head,
Feature extraction, Image classification, long tail recognition,
knowledge distillation
BibRef
Ma, Y.B.[Yan-Biao],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Yang, S.Y.[Shu-Yuan],
Liu, X.[Xu],
Chen, P.[Puhua],
Feature Distribution Representation Learning Based on Knowledge
Transfer for Long-Tailed Classification,
MultMed(26), 2024, pp. 2772-2784.
IEEE DOI
2402
Tail, Training, Head, Feature extraction, Knowledge transfer,
Representation learning, Noise measurement,
knowledge transfer
BibRef
Elbatel, M.[Marawan],
Martí, R.[Robert],
Li, X.M.[Xiao-Meng],
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for
Long-Tailed Medical Image Recognition,
MedImg(43), No. 3, March 2024, pp. 954-965.
IEEE DOI Code:
WWW Link.
2403
Biomedical imaging, Adaptation models, Task analysis, Tuning,
Data models, Transformers, Image classification, Visual prompting,
long tailed learning
BibRef
Wang, W.Q.[Wei-Qiu],
Chen, Z.[Zining],
Su, F.[Fei],
Zhao, Z.C.[Zhi-Cheng],
Text-guided Fourier Augmentation for long-tailed recognition,
PRL(179), 2024, pp. 38-44.
Elsevier DOI
2403
Long-tailed visual recognition, Language models,
Fourier transform, Imbalanced data
BibRef
Chen, J.H.[Jia-Hao],
Su, B.[Bing],
Instance-Specific Semantic Augmentation for Long-Tailed Image
Classification,
IP(33), 2024, pp. 2544-2557.
IEEE DOI
2404
Tail, Semantics, Head, Programmable logic arrays, Training,
Image classification, Reliability, Long-tailed distribution,
imbalanced data
BibRef
Zhao, Q.H.[Qi-Hao],
Zhang, F.[Fan],
Hu, W.[Wei],
Feng, S.[Songhe],
Liu, J.[Jun],
OHD: An Online Category-Aware Framework for Learning With Noisy
Labels Under Long-Tailed Distribution,
CirSysVideo(34), No. 5, May 2024, pp. 3806-3818.
IEEE DOI
2405
Noise measurement, Training, Tail, Frequency estimation,
Uncertainty, Robustness, Deep neural networks, image classification
BibRef
Ma, Y.B.[Yan-Biao],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Yang, S.Y.[Shu-Yuan],
Liu, X.[Xu],
Chen, P.H.[Pu-Hua],
Geometric Prior Guided Feature Representation Learning for Long-Tailed
Classification,
IJCV(132), No. 7, July 2024, pp. Pages2493-2510.
Springer DOI
2406
BibRef
Ma, Y.B.[Yan-Biao],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Yang, S.Y.[Shu-Yuan],
Liu, X.[Xu],
Li, L.L.[Ling-Ling],
Curvature-Balanced Feature Manifold Learning for Long-Tailed
Classification,
CVPR23(15824-15835)
IEEE DOI
2309
BibRef
Pan, H.L.[Hao-Lin],
Guo, Y.[Yong],
Yu, M.[Mianjie],
Chen, J.[Jian],
Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation,
IP(33), 2024, pp. 4215-4230.
IEEE DOI Code:
WWW Link.
2408
BibRef
Xie, H.T.[Hong-Tao],
Jiang, Y.[Yan],
Zhang, L.[Lei],
Li, P.D.[Pan-Deng],
Zhang, D.M.[Dong-Ming],
Zhang, Y.D.[Yong-Dong],
Semantic-Enhanced Proxy-Guided Hashing for Long-Tailed Image
Retrieval,
MultMed(26), 2024, pp. 9499-9514.
IEEE DOI
2410
Semantics, Codes, Tail, Measurement, Training, Image retrieval,
Covariance matrices, Deep hashing, long-tailed learning, similarity measuring
BibRef
Zhang, E.[Enhao],
Geng, C.X.[Chuan-Xing],
Li, C.O.[Cha-Ohua],
Chen, S.C.[Song-Can],
Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition,
CirSysVideo(34), No. 9, September 2024, pp. 7986-7997.
IEEE DOI
2410
Tail, Training, Prototypes, Magnetic heads, Visualization, Standards,
Vectors, Long-tailed learning, logit adjustment, algebraic rank, neural collapse
BibRef
Zeng, W.[Wu],
Xiao, Z.Y.[Zheng-Ying],
MinoritySalMix and adaptive semantic weight compensation for
long-tailed classification,
IVC(152), 2024, pp. 105307.
Elsevier DOI
2412
Long-tailed classification, Data augmentation,
Saliency detection, Adaptive sampling weights, Deep learning
BibRef
Vu, D.Q.[Duc-Quang],
Phung, T.T.T.[Trang T. T.],
Wang, J.C.[Jia-Ching],
Mai, S.T.[Son T.],
LCSL: Long-Tailed Classification via Self-Labeling,
CirSysVideo(34), No. 11, November 2024, pp. 12048-12058.
IEEE DOI Code:
WWW Link.
2412
Training, Accuracy, Predictive models, Data models, Data augmentation,
Brain modeling, Training data, imbalance classification
BibRef
Bao, Y.X.[Yu-Xiang],
Kang, G.L.[Guo-Liang],
Yang, L.L.[Lin-Lin],
Duan, X.Y.[Xiao-Yue],
Zhao, B.[Bo],
Zhang, B.C.[Bao-Chang],
Normalizing Batch Normalization for Long-Tailed Recognition,
IP(34), 2025, pp. 209-220.
IEEE DOI
2501
Heavily-tailed distribution, Vectors, Batch normalization, Training,
Standards, Accuracy, Visualization, Image recognition, deep learning
BibRef
Guo, C.[Chen],
Chen, W.L.[Wei-Ling],
Huang, A.P.[Ai-Ping],
Zhao, T.S.[Tie-Song],
Prototype Alignment With Dedicated Experts for Test-Agnostic
Long-Tailed Recognition,
MultMed(27), 2025, pp. 455-465.
IEEE DOI
2501
Heavily-tailed distribution, Training, Prototypes, Tail, Pipelines,
Semantics, Representation learning, Head, Visualization,
prototypical learning
BibRef
Zhang, E.[Enhao],
Geng, C.X.[Chuan-Xing],
Chen, S.C.[Song-Can],
Class-aware Universum Inspired re-balance learning for long-tailed
recognition,
PR(161), 2025, pp. 111337.
Elsevier DOI
2502
Re-balance learning, Long-tailed recognition,
Class-aware Universum, Higher-order mixup
BibRef
Chang, X.H.[Xu-Hui],
Zhai, J.H.[Jun-Hai],
Qiu, S.X.[Shao-Xin],
Sun, Z.R.[Zheng-Rong],
Rebalanced supervised contrastive learning with prototypes for
long-tailed visual recognition,
CVIU(252), 2025, pp. 104291.
Elsevier DOI Code:
WWW Link.
2502
Long-tailed recognition, Imbalance learning,
Supervised contrastive learning, Prototypes
BibRef
Wei, X.S.[Xiu-Shen],
Sun, X.H.[Xu-Hao],
Shen, Y.[Yang],
Wang, P.[Peng],
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition,
IJCV(133), No. 6, June 2025, pp. Psges 3349-3366.
Springer DOI
2505
BibRef
Li, Z.[Zhuo],
Zhao, H.[He],
Gao, A.Z.[Anning-Zhe],
Guo, D.D.[Dan-Dan],
Chang, T.H.[Tsung-Hui],
Wan, X.[Xiang],
Prototype-Oriented Clean Subset Extraction for Noisy Long-Tailed
Classification,
CirSysVideo(35), No. 8, August 2025, pp. 7953-7965.
IEEE DOI Code:
WWW Link.
2508
Noise measurement, Noise, Heavily-tailed distribution, Training, Prototypes,
Labeling, Reliability, Detectors, Data mining, Costs, optimal transport
BibRef
Fan, S.N.[Sheng-Nan],
Chai, Z.[Zhilei],
Fang, Z.J.[Zhi-Jun],
Pan, Y.Y.[Yu-Ying],
Shen, H.[Hui],
Cheng, X.Y.[Xiang-Yu],
Wu, Q.[Qin],
MaxSwap-Enhanced Knowledge Consistency Learning for long-tailed
recognition,
IVC(161), 2025, pp. 105643.
Elsevier DOI
2509
Long-tailed recognition, Data augmentation,
Knowledge consistency learning, Multi-view learning, Confusion suppression
BibRef
Zhao, W.[Wenyi],
Li, W.[Wei],
Li, Y.H.[Yu-Han],
Yang, L.[Lu],
Liang, Z.[Zhenhao],
Hu, E.[Enwen],
Zhang, W.D.[Wei-Dong],
Yang, H.[Huihua],
Constructing Balanced Training Samples: A New Perspective on
Long-Tailed Classification,
MultMed(27), 2025, pp. 5130-5143.
IEEE DOI
2509
Heavily-tailed distribution, Training, Feature extraction, Tail,
Contrastive learning, Optimization, Measurement, Head, Data mining,
end-to-end
BibRef
Jin, L.[Lu],
Lu, Z.Y.[Zheng-Yun],
Li, Z.C.[Ze-Chao],
Pan, Y.H.[Yong-Hua],
Dai, L.Q.[Long-Quan],
Tang, J.H.[Jin-Hui],
Jain, R.[Ramesh],
Causal Inference Hashing for Long-Tailed Image Retrieval,
IP(34), 2025, pp. 5099-5114.
IEEE DOI Code:
WWW Link.
2509
Heavily-tailed distribution, Codes, Telecommunication traffic,
Communication switching, Image retrieval, Head, Hash functions,
causal inference
BibRef
Deng, X.[Xiyan],
Wang, X.L.[Xiao-Li],
Sun, Y.F.[Yi-Fan],
Zhao, X.S.[Xu-Sheng],
Tian, S.[Siju],
Li, M.Q.[Min-Qi],
Wang, Y.P.[Yu-Ping],
EIFA-KD: Explicit and implicit feature augmentation with knowledge
distillation for long-tailed visual data classification,
PR(171), 2026, pp. 112129.
Elsevier DOI
2510
Long-tailed visual data classification, Explicit feature augmentation,
Implicit feature augmentation, Knowledge distillation
BibRef
Ren, N.[Ning],
Li, X.S.[Xiao-Song],
Wu, Y.X.[Yan-Xia],
Fu, Y.[Yan],
Bi-granularity balance learning for long-tailed image classification,
CVIU(261), 2025, pp. 104469.
Elsevier DOI
2511
Convolutional neural networks,
Long-tailed image classification, Imbalanced learning, Contrastive learning
BibRef
Huang, Z.Y.[Zhen-Yuan],
Tang, W.Z.[Wen-Zhong],
Zhang, H.[Hui],
Yang, H.J.[Hai-Jun],
A general aggregation federated learning intervention algorithm based
on do-calculus,
PR(171), 2026, pp. 112210.
Elsevier DOI
2511
Long-tail learning, Heterogeneous data, Causal intervention
BibRef
Jung, Y.G.[Yoon Gyo],
Park, J.[Jaewoo],
Yoon, J.[Jaeho],
Peng, K.C.[Kuan-Chuan],
Kim, W.[Wonchul],
Teoh, A.B.J.[Andrew Beng Jin],
Camps, O.[Octavia],
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy
Anomaly Detection,
CVPR25(25539-25548)
IEEE DOI
2508
Heavily-tailed distribution, Navigation, Noise,
Telecommunication traffic, Predictive models, Noise robustness,
noisy long-tail anomaly detection
BibRef
Zhao, S.Z.[Shi-Zhen],
Wen, X.[Xin],
Liu, J.H.[Jia-Hui],
Ma, C.F.[Chuo-Fan],
Yuan, C.F.[Chun-Feng],
Qi, X.J.[Xiao-Juan],
Learning from Neighbors: Category Extrapolation for Long-Tail
Learning,
CVPR25(30483-30492)
IEEE DOI
2508
Training, Representation learning, Deep learning, Extrapolation,
Heavily-tailed distribution, Head, Large language models, Standards
BibRef
Li, Z.[Ziang],
Zhang, H.G.[Hong-Guang],
Wang, J.[Juan],
Chen, M.H.[Mei-Hui],
Hu, H.X.[Hong-Xin],
Yi, W.Z.[Wen-Zhe],
Xu, X.Y.[Xiao-Yang],
Yang, M.[Mengda],
Ma, C.J.[Chen-Jun],
From Head to Tail: Efficient Black-box Model Inversion Attack via
Long-tailed Learning,
CVPR25(29288-29298)
IEEE DOI Code:
WWW Link.
2508
Training, Heavily-tailed distribution, Head, Closed box, Training data,
Data models, Robustness, Optimization, Residual neural networks
BibRef
Yu-Hang, W.[Wang],
Guo, J.[Junkang],
Liu, A.[Aolei],
Wang, K.[Kaihao],
Wu, Z.[Zaitong],
Liu, Z.Y.[Zhen-Yu],
Yin, W.F.[Wen-Fei],
Liu, J.[Jian],
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed
Distributions,
CVPR25(15476-15485)
IEEE DOI Code:
WWW Link.
2508
Training, Measurement, Heavily-tailed distribution, Accuracy,
Memory management, Robustness, Computational efficiency,
real-world robustness
BibRef
Bhat, S.D.[S. Divakar],
More, A.[Amit],
Soni, M.[Mudit],
Agrawal, S.[Surbhi],
Prior2Posterior: Model Prior Correction for Long-Tailed Learning,
WACV25(1289-1298)
IEEE DOI
2505
Training, Analytical models, Heavily-tailed distribution,
Face recognition, Tail, Probability, Predictive models, recognition
BibRef
Jung, H.[Hoin],
Wang, X.Q.[Xiao-Qian],
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed
Distributions,
WACV25(6795-6804)
IEEE DOI
2505
Training, Heavily-tailed distribution, Accuracy, Sparse approximation,
Navigation, Heuristic algorithms, Merging, online learning
BibRef
Yu, T.[Tao],
Zhao, X.[Xu],
An, Y.Q.[Yong-Qi],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Knowledge Distillation Dealing with Sample-wise Long-tail Problem,
ACCV24(X: 411-427).
Springer DOI
2412
BibRef
Lin, D.K.[De-Kun],
Peng, T.[Tailai],
Chen, R.[Rui],
Xie, X.R.[Xin-Ran],
Qin, X.L.[Xiao-Lin],
Cui, Z.[Zhe],
Distributionally Robust Loss for Long-tailed Multi-label Image
Classification,
ECCV24(XXXIII: 417-433).
Springer DOI
2412
BibRef
Aimar, E.S.[Emanuel Sanchez],
Helgesen, N.[Nathaniel],
Xu, Y.H.[Yong-Hao],
Kuhlmann, M.[Marco],
Felsberg, M.[Michael],
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
Learning with Proper Calibration,
ECCV24(LIV: 307-327).
Springer DOI
2412
BibRef
Zhao, Q.H.[Qi-Hao],
Dai, Y.[Yalun],
Lin, S.[Shen],
Hu, W.[Wei],
Zhang, F.[Fan],
Liu, J.[Jun],
LTRL: Boosting Long-tail Recognition via Reflective Learning,
ECCV24(LXVII: 1-18).
Springer DOI
2412
BibRef
Zheng, H.W.[Hong-Wei],
Zhou, L.Y.[Lin-Yuan],
Li, H.[Han],
Su, J.M.[Jin-Ming],
Wei, X.M.[Xiao-Ming],
Xu, X.M.[Xiao-Ming],
BEM: Balanced and Entropy-Based Mix for Long-Tailed Semi-Supervised
Learning,
CVPR24(22893-22903)
IEEE DOI
2410
Training, Uncertainty, Accuracy, Semisupervised learning,
Benchmark testing, Semi-supervised learning, Data augmentation
BibRef
Yue, X.[Xinli],
Mou, N.P.[Ning-Ping],
Wang, Q.[Qian],
Zhao, L.C.[Ling-Chen],
Revisiting Adversarial Training Under Long-Tailed Distributions,
CVPR24(24492-24501)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Computational modeling, Training data,
Data augmentation
BibRef
Khorram, S.[Saeed],
Jiang, M.Q.[Ming-Qi],
Shahbazi, M.[Mohamad],
Danesh, M.H.[Mohamad H.],
Fuxin, L.[Li],
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
Unconditional Training at Lower Resolutions,
CVPR24(7580-7590)
IEEE DOI Code:
WWW Link.
2410
Training, Measurement, Image resolution, Head, Image synthesis,
Training data, Tail, long-tail, GAN, long-tail generative learning,
class imbalance
BibRef
Gu, Y.[Yanan],
Yang, M.[Muli],
Yang, X.[Xu],
Wei, K.[Kun],
Zhu, H.Y.[Hong-Yuan],
Goenawan, G.J.[Gabriel James],
Deng, C.[Cheng],
Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning,
WACV25(8176-8185)
IEEE DOI
2505
Training, Adaptation models, Visualization,
Heavily-tailed distribution, Foundation models, Tail, Faces
BibRef
Wang, X.[Xi],
Yang, X.[Xu],
Yin, J.[Jie],
Wei, K.[Kun],
Deng, C.[Cheng],
Long-Tail Class Incremental Learning via Independent SUb-Prototype
Construction,
CVPR24(28598-28607)
IEEE DOI
2410
Incremental learning, Extraterrestrial phenomena,
Computational modeling, Collaboration, Benchmark testing, Vectors
BibRef
Han, P.X.[Peng-Xiao],
Ye, C.K.[Chang-Kun],
Zhou, J.[Jieming],
Zhang, J.[Jing],
Hong, J.[Jie],
Li, X.S.[Xue-Song],
Latent-based Diffusion Model for Long-tailed Recognition,
L3D-IVU24(2639-2648)
IEEE DOI
2410
Training, Computational modeling, Transfer learning,
Noise reduction, Tail, diffusion model, long-tailed recognition,
imbalance distribution
BibRef
Lavoie, M.A.[Marc-Antoine],
Waslander, S.L.[Steven L.],
Class Instance Balanced Learning for Long-Tailed Classification,
CRV23(121-128)
IEEE DOI
2406
Training, Head, Training data, Tail, Artificial neural networks,
Task analysis, Robots, classification, contrastive learning,
long tailed classification
BibRef
Kalla, J.[Jayateja],
Biswas, S.[Soma],
Robust Feature Learning and Global Variance-Driven Classifier
Alignment for Long-Tail Class Incremental Learning,
WACV24(32-41)
IEEE DOI Code:
WWW Link.
2404
Representation learning, Power measurement, Codes, Prototypes, Tail,
Data models, Algorithms, Machine learning architectures,
Image recognition and understanding
BibRef
Zhang, S.[Shan],
Ni, Y.[Yao],
Du, J.H.[Jin-Hao],
Liu, Y.X.[Yan-Xia],
Koniusz, P.[Piotr],
Semantic Transfer from Head to Tail: Enlarging Tail Margin for
Long-Tailed Visual Recognition,
WACV24(1339-1349)
IEEE DOI
2404
Training, Visualization, Head, Semantics, Tail, Benchmark testing,
Fasteners, Algorithms, Image recognition and understanding,
Virtual / augmented reality
BibRef
Li, L.J.[Lin-Jie],
Wu, Z.Y.[Zhen-Yu],
Liu, J.M.[Jia-Ming],
Ji, Y.[Yang],
TAE: Task-aware Expandable Representation for Long Tail Class
Incremental Learning,
ACCV24(IV: 335-351).
Springer DOI
2412
BibRef
Lu, Y.[Yang],
Zhang, Y.L.[Yi-Liang],
Han, B.[Bo],
Cheung, Y.M.[Yiu-Ming],
Wang, H.Z.[Han-Zi],
Label-Noise Learning with Intrinsically Long-Tailed Data,
ICCV23(1369-1378)
IEEE DOI Code:
WWW Link.
2401
BibRef
Tao, Y.F.[Ying-Fan],
Sun, J.[Jingna],
Yang, H.[Hao],
Chen, L.[Li],
Wang, X.[Xu],
Yang, W.M.[Wen-Ming],
Du, D.[Daniel],
Zheng, M.[Min],
Local and Global Logit Adjustments for Long-Tailed Learning,
ICCV23(11749-11758)
IEEE DOI
2401
BibRef
Chen, X.H.[Xiao-Hua],
Zhou, Y.[Yucan],
Wu, D.[Dayan],
Yang, C.[Chule],
Li, B.[Bo],
Hu, Q.H.[Qing-Hua],
Wang, W.P.[Wei-Ping],
AREA: Adaptive Reweighting via Effective Area for Long-Tailed
Classification,
ICCV23(19220-19230)
IEEE DOI Code:
WWW Link.
2401
BibRef
Park, M.H.[Min-Ho],
Kim, H.I.[Hyung-Il],
Song, H.J.[Hwa Jeon],
Kang, D.O.[Dong-Oh],
Augmenting Features via Contrastive Learning-based Generative Model
for Long-Tailed Classification,
LIMIT23(1010-1019)
IEEE DOI
2401
BibRef
Zhao, Q.H.[Qi-Hao],
Jiang, C.[Chen],
Hu, W.[Wei],
Zhang, F.[Fan],
Liu, J.[Jun],
MDCS: More Diverse Experts with Consistency Self-distillation for
Long-tailed Recognition,
ICCV23(11563-11574)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lin, C.S.[Ci-Siang],
Chen, M.H.[Min-Hung],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Frequency-Aware Self-Supervised Long-Tailed Learning,
LIMIT23(963-972)
IEEE DOI
2401
BibRef
Park, W.[Wongi],
Park, I.[Inhyuk],
Kim, S.[Sungeun],
Ryu, J.B.[Jong-Bin],
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning,
CVAMD23(2703-2712)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yamagishi, Y.[Yosuke],
Hanaoka, S.[Shohei],
Effect of Stage Training for Long-Tailed Multi-Label Image
Classification,
CVAMD23(2713-2720)
IEEE DOI
2401
BibRef
Zhang, W.Q.[Wen-Qiao],
Liu, C.S.[Chang-Shuo],
Zeng, L.Z.[Ling-Ze],
Ooi, B.C.[Beng-Chin],
Tang, S.L.[Si-Liang],
Zhuang, Y.T.[Yue-Ting],
Learning in Imperfect Environment: Multi-Label Classification with
Long-Tailed Distribution and Partial Labels,
ICCV23(1423-1432)
IEEE DOI Code:
WWW Link.
2401
BibRef
Nah, W.J.[Wan Jun],
Ng, C.C.[Chun Chet],
Lin, C.T.[Che-Tsung],
Lee, Y.K.[Yeong Khang],
Kew, J.L.[Jie Long],
Tan, Z.Q.[Zhi Qin],
Chan, C.S.[Chee Seng],
Zach, C.[Christopher],
Lai, S.H.[Shang-Hong],
Rethinking Long-Tailed Visual Recognition with Dynamic Probability
Smoothing and Frequency Weighted Focusing,
ICIP23(435-439)
IEEE DOI Code:
WWW Link.
2312
BibRef
Perrett, T.[Toby],
Sinha, S.[Saptarshi],
Burghardt, T.[Tilo],
Mirmehdi, M.[Majid],
Damen, D.[Dima],
Use Your Head: Improving Long-Tail Video Recognition,
CVPR23(2415-2425)
IEEE DOI
2309
BibRef
Wei, T.[Tong],
Gan, K.[Kai],
Towards Realistic Long-Tailed Semi-Supervised Learning:
Consistency is All You Need,
CVPR23(3469-3478)
IEEE DOI
2309
BibRef
Gou, Y.B.[Yuan-Biao],
Hu, P.[Peng],
Lv, J.C.[Jian-Cheng],
Zhu, H.Y.[Hong-Yuan],
Peng, X.[Xi],
Rethinking Image Super Resolution from Long-Tailed Distribution
Learning Perspective,
CVPR23(14327-14336)
IEEE DOI
2309
BibRef
Du, Y.X.[Ying-Xiao],
Wu, J.X.[Jian-Xin],
No One Left Behind: Improving the Worst Categories in Long-Tailed
Learning,
CVPR23(15804-15813)
IEEE DOI
2309
BibRef
Du, F.[Fei],
Yang, P.[Peng],
Jia, Q.[Qi],
Nan, F.T.[Feng-Tao],
Chen, X.T.[Xiao-Ting],
Yang, Y.[Yun],
Global and Local Mixture Consistency Cumulative Learning for
Long-tailed Visual Recognitions,
CVPR23(15814-15823)
IEEE DOI
2309
BibRef
Aimar, E.S.[Emanuel Sanchez],
Jonnarth, A.[Arvi],
Felsberg, M.[Michael],
Kuhlmann, M.[Marco],
Balanced Product of Calibrated Experts for Long-Tailed Recognition,
CVPR23(19967-19977)
IEEE DOI
2309
BibRef
Jin, Y.[Yan],
Li, M.K.[Meng-Ke],
Lu, Y.[Yang],
Cheung, Y.M.[Yiu-Ming],
Wang, H.Z.[Han-Zi],
Long-Tailed Visual Recognition via Self-Heterogeneous Integration
with Knowledge Excavation,
CVPR23(23695-23704)
IEEE DOI
2309
BibRef
Li, J.[Jian],
Meng, Z.[Ziyao],
Shi, D.[Daqian],
Song, R.[Rui],
Diao, X.L.[Xiao-Lei],
Wang, J.W.[Jing-Wen],
Xu, H.[Hao],
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition,
CVPR23(24080-24089)
IEEE DOI
2309
BibRef
Cai, F.[Feng],
Wu, K.Y.[Ke-Yu],
Wang, H.P.[Hai-Peng],
Wang, F.[Feng],
A Three-Stage Framework with Reliable Sample Pool for Long-Tailed
Classification,
PBVS23(479-486)
IEEE DOI
2309
BibRef
Long, H.X.[Hai-Xu],
Zhang, X.L.[Xiao-Lin],
Liu, Y.B.[Yan-Bin],
Luo, Z.T.[Zong-Tai],
Liu, J.B.[Jian-Bo],
Mutual Exclusive Modulator for Long-Tailed Recognition,
L3D-IVU23(4891-4900)
IEEE DOI
2309
BibRef
Chen, J.H.[Jia-Hao],
Su, B.[Bing],
Transfer Knowledge from Head to Tail:
Uncertainty Calibration under Long-tailed Distribution,
CVPR23(19978-19987)
IEEE DOI
2309
BibRef
Zhou, Z.P.[Zhi-Peng],
Li, L.Q.[Lan-Qing],
Zhao, P.L.[Pei-Lin],
Heng, P.A.[Pheng-Ann],
Gong, W.[Wei],
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed
Recognition,
CVPR23(3499-3509)
IEEE DOI
2309
BibRef
Fu, S.[Siming],
Chu, H.P.[Huan-Peng],
He, X.X.[Xiao-Xuan],
Wang, H.L.[Hua-Liang],
Yang, Z.Y.[Zhen-Yu],
Hu, H.J.[Hao-Ji],
Meta-prototype Decoupled Training for Long-tailed Learning,
ACCV22(VI:252-268).
Springer DOI
2307
BibRef
Peng, H.Y.[Han-Yu],
Pian, W.G.[Wei-Guo],
Sun, M.M.[Ming-Ming],
Li, P.[Ping],
Dynamic Re-weighting for Long-tailed Semi-supervised Learning,
WACV23(6453-6463)
IEEE DOI
2302
Training, Uncertainty, Annotations, Semisupervised learning,
Task analysis, Algorithms: Machine learning architectures, visual reasoning
BibRef
Park, C.[Changhwa],
Yim, J.[Junho],
Jun, E.[Eunji],
Mutual Learning for Long-Tailed Recognition,
WACV23(2674-2683)
IEEE DOI
2302
Training, Deep learning, Image recognition, Neural networks, Tail,
Benchmark testing, Algorithms: Machine learning architectures, visual reasoning
BibRef
Liu, B.[Bo],
Li, H.X.[Hao-Xiang],
Kang, H.[Hao],
Hua, G.[Gang],
Vasconcelos, N.M.[Nuno M.],
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed
Recognition,
ECCV22(XXIV:637-653).
Springer DOI
2211
BibRef
Tang, K.H.[Kai-Hua],
Tao, M.Y.[Ming-Yuan],
Qi, J.X.[Jia-Xin],
Liu, Z.G.[Zhen-Guang],
Zhang, H.W.[Han-Wang],
Invariant Feature Learning for Generalized Long-Tailed Classification,
ECCV22(XXIV:709-726).
Springer DOI
2211
BibRef
Hong, Y.[Yan],
Zhang, J.[Jianfu],
Sun, Z.Y.[Zhong-Yi],
Yan, K.[Ke],
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image
Classification,
ECCV22(XXIV:587-603).
Springer DOI
2211
BibRef
Wang, H.L.[Hua-Liang],
Fu, S.M.[Si-Ming],
He, X.X.[Xiao-Xuan],
Fang, H.X.[Hang-Xiang],
Liu, Z.Z.[Zuo-Zhu],
Hu, H.J.[Hao-Ji],
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
Coefficient for Long-Tailed Learning,
ECCV22(XXIV:179-196).
Springer DOI
2211
BibRef
Cho, J.H.[Jang Hyun],
Krähenbühl, P.[Philipp],
Long-tail Detection with Effective Class-Margins,
ECCV22(VIII:698-714).
Springer DOI
2211
BibRef
Rangwani, H.[Harsh],
Jaswani, N.[Naman],
Karmali, T.[Tejan],
Jampani, V.[Varun],
Babu, R.V.[R. Venkatesh],
Improving GANs for Long-Tailed Data Through Group Spectral
Regularization,
ECCV22(XV:426-442).
Springer DOI
2211
BibRef
Jiang, C.M.[Chiyu Max],
Najibi, M.[Mahyar],
Qi, C.R.[Charles R.],
Zhou, Y.[Yin],
Anguelov, D.[Dragomir],
Improving the Intra-class Long-Tail in 3D Detection via Rare Example
Mining,
ECCV22(X:158-175).
Springer DOI
2211
BibRef
Yang, Y.Z.[Yu-Zhe],
Wang, H.[Hao],
Katabi, D.[Dina],
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
Generalization and Beyond,
ECCV22(XX:57-75).
Springer DOI
2211
BibRef
Gu, X.[Xiao],
Guo, Y.[Yao],
Li, Z.[Zeju],
Qiu, J.N.[Jia-Ning],
Dou, Q.[Qi],
Liu, Y.X.[Yu-Xuan],
Lo, B.[Benny],
Yang, G.Z.[Guang-Zhong],
Tackling Long-Tailed Category Distribution Under Domain Shifts,
ECCV22(XXIII:727-743).
Springer DOI
2211
BibRef
Tian, C.Y.[Chang-Yao],
Wang, W.H.[Wen-Hai],
Zhu, X.Z.[Xi-Zhou],
Dai, J.F.[Ji-Feng],
Qiao, Y.[Yu],
VL-LTR: Learning Class-wise Visual-Linguistic Representation for
Long-Tailed Visual Recognition,
ECCV22(XXV:73-91).
Springer DOI
2211
BibRef
Yi, X.Y.[Xuan-Yu],
Tang, K.[Kaihua],
Hua, X.S.[Xian-Sheng],
Lim, J.H.[Joo-Hwee],
Zhang, H.W.[Han-Wang],
Identifying Hard Noise in Long-Tailed Sample Distribution,
ECCV22(XXVI:739-756).
Springer DOI
2211
BibRef
Alshammari, S.[Shaden],
Wang, Y.X.[Yu-Xiong],
Ramanan, D.[Deva],
Kong, S.[Shu],
Long-Tailed Recognition via Weight Balancing,
CVPR22(6887-6897)
IEEE DOI
2210
Training, Art, Benchmark testing, Data models,
Tuning, Transfer/low-shot/long-tail learning
BibRef
Li, M.K.[Meng-Ke],
Cheung, Y.M.[Yiu-Ming],
Lu, Y.[Yang],
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment,
CVPR22(6919-6928)
IEEE DOI
2210
Training, Visualization, Graphical models, Perturbation methods,
Neural networks, Tail, Benchmark testing, Transfer/low-shot/long-tail learning
BibRef
Parisot, S.[Sarah],
Esperança, P.M.[Pedro M.],
McDonagh, S.[Steven],
Madarasz, T.J.[Tamas J.],
Yang, Y.X.[Yong-Xin],
Li, Z.G.[Zhen-Guo],
Long-tail Recognition via Compositional Knowledge Transfer,
CVPR22(6929-6938)
IEEE DOI
2210
Training, Analytical models, Prototypes, Tail, Performance gain,
Benchmark testing, Transfer/low-shot/long-tail learning
BibRef
Long, A.[Alexander],
Yin, W.[Wei],
Ajanthan, T.[Thalaiyasingam],
Nguyen, V.[Vu],
Purkait, P.[Pulak],
Garg, R.[Ravi],
Blair, A.[Alan],
Shen, C.H.[Chun-Hua],
van den Hengel, A.J.[Anton J.],
Retrieval Augmented Classification for Long-Tail Visual Recognition,
CVPR22(6949-6959)
IEEE DOI
2210
Training, Visualization, Pipelines, Memory management, Tail,
Transfer/low-shot/long-tail learning,
retrieval
BibRef
Li, B.[Bolian],
Han, Z.[Zongbo],
Li, H.[Haining],
Fu, H.Z.[Hua-Zhu],
Zhang, C.Q.[Chang-Qing],
Trustworthy Long-Tailed Classification,
CVPR22(6960-6969)
IEEE DOI
2210
Measurement, Ethics, Evidence theory, Estimation,
Distributed databases, Tail, Machine learning,
privacy and ethics in vision
BibRef
Oh, Y.[Youngtaek],
Kim, D.J.[Dong-Jin],
Kweon, I.S.[In So],
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for
Imbalanced Semi-Supervised Learning,
CVPR22(9776-9786)
IEEE DOI
2210
Semantics, Prototypes, Semisupervised learning, Benchmark testing,
Reliability,
Transfer/low-shot/long-tail learning
BibRef
Sharma, S.[Saurabh],
Yu, N.[Ning],
Fritz, M.[Mario],
Schiele, B.[Bernt],
Long-Tailed Recognition Using Class-Balanced Experts,
GCPR20(86-100).
Springer DOI
2110
BibRef
Zhou, B.,
Cui, Q.,
Wei, X.,
Chen, Z.,
BBN: Bilateral-Branch Network With Cumulative Learning for
Long-Tailed Visual Recognition,
CVPR20(9716-9725)
IEEE DOI
2008
Training, Error analysis, Feature extraction, Data models,
Visualization, Benchmark testing
BibRef
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Inflated Episodic Memory With Region Self-Attention for Long-Tailed
Visual Recognition,
CVPR20(4343-4352)
IEEE DOI
2008
Visualization, Prototypes, Training, Feature extraction, Robustness,
Data models, Encoding
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Unbalanced Data, Oversample or Undersample Solutions .