Improving Calibration for Long-Tailed Recognition

1 April 2021

Papers citing "Improving Calibration for Long-Tailed Recognition"

50 / 164 papers shown

Title
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 42 12 0 31 Mar 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao F. Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 36 5 0 22 Mar 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du Jianxin Wu 32 13 0 07 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
Rethink Long-tailed Recognition with Vision Transformers Zhengzhuo Xu Shuo Yang Xingjun Wang Chun Yuan 20 4 0 28 Feb 2023
Inducing Neural Collapse in Deep Long-tailed Learning Xuantong Liu Jianfeng Zhang Tianyang Hu He Cao Lujia Pan Yuan Yao 27 27 0 24 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 19 2 0 19 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 38 1 0 07 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 36 0 0 31 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi Xinming Zhang Jiaya Jia 138 45 0 03 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 31 29 0 28 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 37 33 0 05 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 26 1 0 03 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification Lechao Cheng Chaowei Fang Dingwen Zhang Guanbin Li Gang Huang 46 11 0 02 Dec 2022
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition WonJun Moon Hyun Seok Seong Jae-Pil Heo VLM 17 5 0 24 Nov 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 28 6 0 22 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 41 20 0 20 Nov 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Xinyu Yang Huaxiu Yao Allan Zhou Chelsea Finn 44 3 0 25 Oct 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining C. Jiang Mahyar Najibi C. Qi Yin Zhou Drago Anguelov 29 20 0 15 Oct 2022
LPT: Long-tailed Prompt Tuning for Image Classification Bowen Dong Pan Zhou Shuicheng Yan W. Zuo VPVLM VLM 65 54 0 03 Oct 2022
Long-Tailed Class Incremental Learning Xialei Liu Yu-Song Hu Xuezhi Cao Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 67 35 0 01 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin Tanguy Lefort Benjamin Charlier Alexis Joly Joseph Salmon 44 5 0 30 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 49 9 0 11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 19 6 0 07 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 32 17 0 22 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
Constructing Balance from Imbalance for Long-tailed Image Recognition Yue Xu Yong-Lu Li Jiefeng Li Cewu Lu CVBM 30 29 0 04 Aug 2022
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval Hao Wang Guosheng Lin Guosheng Lin Steven C. H. Hoi 29 15 0 29 Jul 2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition Enhao Zhang Chuanxing Geng Songcan Chen 38 2 0 26 Jul 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification Kanghao Chen Weixian Lei Rong Zhang Shen Zhao Weishi Zheng Ruixuan Wang OOD 19 20 0 11 Jul 2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation Xinyu Lyu Lianli Gao Pengpeng Zeng Hengtao Shen Jingkuan Song 39 18 0 11 Jul 2022
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition J. Baik In Young Yoon J. Choi 26 10 0 05 Jul 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 14 2 0 23 Jun 2022
Learning Towards the Largest Margins Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 22 12 0 23 Jun 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging Riqiang Gao Thomas Z. Li Yucheng Tang Zhoubing Xu M. Kammer S. Antic K. Sandler Fabien Maldonado Thomas A. Lasko Bennett Landman OOD 40 1 0 17 Jun 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets Hongxin Wei Lue Tao Renchunzi Xie Lei Feng Bo An OODD 28 37 0 17 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth M. Felsberg Marco Kuhlmann 20 22 0 10 Jun 2022
Long-tailed Recognition by Learning from Latent Categories Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 45 5 0 02 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression Yu Gong Greg Mori Frederick Tung 19 44 0 30 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 25 1 0 27 May 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 16 123 0 27 May 2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification Liang Xu Yi Cheng Fan Zhang Bingxuan Wu Pengfei Shao Peng Liu Shuwei Shen Peng Yao Ronald X.Xu 30 1 0 24 May 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning Liang Xie Yibo Yang Deng Cai Xiaofei He 21 44 0 19 Apr 2022
Region Rebalance for Long-Tailed Semantic Segmentation Jiequan Cui Yuhui Yuan Zhisheng Zhong Zhuotao Tian Han Hu Stephen Lin Jiaya Jia 18 18 0 05 Apr 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition Jun Li Zichang Tan Jun Wan Zhen Lei Guodong Guo 36 85 0 29 Mar 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Zeming Li Eric Lo Jian Sun Jiaya Jia SSL 15 4 0 22 Mar 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang Shixiang Chen Hefei Ling Liangru Xie Zhouchen Lin Dacheng Tao 21 77 0 17 Mar 2022
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning Zhi Hou B. Yu Dacheng Tao ViT 52 59 0 03 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 22 2 0 28 Feb 2022