Improving Calibration for Long-Tailed Recognition

1 April 2021

Papers citing "Improving Calibration for Long-Tailed Recognition"

50 / 164 papers shown

Title
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 26 0 0 08 Feb 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 30 1 0 30 Jan 2024
Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu Minghao Fu Jie Shao Tianyu Liu Jianxin Wu 46 2 0 29 Jan 2024
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening Hoyong Kim Semi Lee Kangil Kim CLL 29 2 0 26 Jan 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 25 10 0 21 Jan 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning Yanqi Ge Qiang Nie Ye Huang Yong-Jin Liu Chengjie Wang Feng Zheng Wen Li Lixin Duan CLL 22 8 0 19 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 28 14 0 14 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 29 4 0 05 Dec 2023
Simplifying Neural Network Training Under Class Imbalance Ravid Shwartz-Ziv Micah Goldblum Yucen Lily Li C. Bayan Bruss Andrew Gordon Wilson 31 14 0 05 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 38 0 0 30 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 47 1 0 03 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning Jaya Kalla Soma Biswas CLL 22 5 0 02 Nov 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 30 20 0 27 Oct 2023
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 28 3 0 26 Oct 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Lingling Li OOD 31 7 0 16 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 27 0 0 11 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 28 24 0 07 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 17 19 0 29 Sep 2023
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen Tianlin Huang Geren Zhu Enlu Lin MQ 18 11 0 28 Sep 2023
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi Tong Wei Zhi-Hua Zhou Jiejing Shao Xin-Yan Han Yu-Feng Li 34 26 0 18 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 50 16 0 16 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 26 0 0 13 Sep 2023
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 40 14 0 13 Sep 2023
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition Siming Fu Xiaoxuan He Xinpeng Ding Yuchen Cao Hualiang Wang VLM 27 6 0 24 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 27 9 0 23 Aug 2023
Overcoming Overconfidence for Active Learning Yujin Hwang Won Jo Juyoung Hong Yukyung Choi 14 1 0 21 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 35 11 0 19 Aug 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition Jialin Guo Zhenyu Wu Zhiqiang Zhan Yang Ji 28 0 0 16 Aug 2023
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning H. Kim Jiyoung Lee S. Park Kwanghoon Sohn CoGe 37 11 0 08 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
$Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance$ Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance Takato Yasuno AI4TS 21 0 0 24 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification Marc-Antoine Lavoie Steven Waslander 48 0 0 11 Jul 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Zichang Tan Jun Yu Li Jinhao Du Jun Wan Zhen Lei Guodong Guo VLM 28 21 0 29 Jun 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition Chengkai Hou Jieyu Zhang Hong Wang Dinesh Manocha 26 21 0 28 Jun 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 26 29 0 12 Jun 2023
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition Mengke Li Zhikai Hu Yang Lu Weichao Lan Yiu-ming Cheung Hui Huang 30 19 0 12 Jun 2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types Xinjie Wen Cuiyun Gao Feng Luo Hao Wang Ge Li Qing Liao 38 6 0 12 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 26 0 0 07 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
Learning for Transductive Threshold Calibration in Open-World Recognition Q. Zhang Dongsheng An Tianjun Xiao Tong He Qingming Tang Ying Nian Wu Joseph Tighe Yifan Xing Stefano Soatto 34 0 0 19 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 27 90 0 19 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition Mengke Li Y. Cheung Yang Lu Zhikai Hu Weichao Lan Hui Huang 37 5 0 18 May 2023
Dynamically Conservative Self-Driving Planner for Long-Tail Cases Weitao Zhou Zhong Cao Nanshan Deng Xiaoyu Liu Kun Jiang Diange Yang 19 19 0 12 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 24 4 0 05 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 40 5 0 01 May 2023
Decoupled Training for Long-Tailed Classification With Stochastic Representations G. Nam Sunguk Jang Juho Lee OOD BDL OODD 27 13 0 19 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 32 11 0 13 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 38 15 0 03 Apr 2023