Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

13 May 2024

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Papers citing "Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition"

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Title
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$ - $β$ -Divergence Guanghui Wang Zhiyong Yang Ziyi Wang Shi Wang Qianqian Xu Qingming Huang 237 0 0 07 May 2025
Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang Haitao Wu Changqing Zhang Qinghua Hu Huazhu Fu Qiufeng Wang Xi Peng 83 60 0 03 Jun 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 63 30 0 28 Dec 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 72 24 0 10 Jun 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-Xiong Wang Deva Ramanan Shu Kong MQ 91 146 0 27 Mar 2022
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 105 584 0 09 Oct 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 67 101 0 20 Sep 2021
Parametric Contrastive Learning Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu Jiaya Jia 87 280 0 26 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Yifan Zhang Bryan Hooi Lanqing Hong Jiashi Feng 76 130 0 20 Jul 2021
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 60 238 0 01 Dec 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 110 390 0 05 Oct 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang Hanwang Zhang Jinhui Tang Xiansheng Hua Qianru Sun CML ISeg 103 450 0 26 Sep 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 123 710 0 14 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 159 265 0 18 Jun 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 463 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 289 801 0 05 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,219 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,607 0 18 Jun 2019
Approximation by finite mixtures of continuous density functions that vanish at infinity TrungTin Nguyen Hien Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 40 74 0 01 Mar 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 306 451 0 28 Nov 2016
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 397 545 0 21 Jul 2009