Improving Calibration for Long-Tailed Recognition

1 April 2021

Papers citing "Improving Calibration for Long-Tailed Recognition"

50 / 164 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang Li Zhang Xiaochun Cao Qingming Huang 67 0 0 03 May 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 27 0 0 18 Apr 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 32 0 0 17 Apr 2025
Normalizing Batch Normalization for Long-Tailed Recognition Yuxiang Bao Guoliang Kang Linlin Yang Xiaoyue Duan Bo Zhao Baochang Zhang MQ 55 0 0 06 Jan 2025
Prior2Posterior: Model Prior Correction for Long-Tailed Learning S Divakar Bhat Amit More Mudit Soni Surbhi Agrawal 79 0 0 21 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition Minseok Son Inyong Koo Jinyoung Park Changick Kim 78 0 0 20 Dec 2024
An Architectural Approach to Enhance Deep Long-Tailed Learning Yuhan Pan Yanan Sun Wei Gong 33 0 0 09 Nov 2024
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 34 0 0 30 Oct 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li Yong Liu Yang Lu Yiqun Zhang Yiu-ming Cheung Hui Huang VLM 35 2 0 28 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen Jiaheng Liu Chuofan Ma Chun Yuan Xiaojuan Qi 34 0 0 21 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure Xuzhi Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 33 0 0 14 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 40 0 0 04 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 62 0 0 02 Oct 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 33 1 0 23 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 33 0 0 30 Aug 2024
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition Zaiwei Zhang Gregory P. Meyer Zhichao Lu Ashish Shrivastava Avinash Ravichandran Eric M. Wolff VLM 44 2 0 29 Aug 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 48 2 0 24 Aug 2024
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 36 1 0 14 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 42 0 0 07 Aug 2024
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration Xiaoqing Zhang Qiushi Nie Zunjie Xiao Jilu Zhao Xiao Wu Pengxin Guo Runzhi Li Jin Liu Yanjie Wei Yi-Lun Pan 44 0 0 06 Aug 2024
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 29 7 0 01 Aug 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 51 1 0 17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 30 1 0 17 Jul 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 41 2 0 11 Jul 2024
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation Haolin Pan Yong Guo Mianjie Yu Jian Chen 57 1 0 06 Jul 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 40 1 0 19 Jun 2024
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification Tianyunxi Wei Yijin Huang Li Lin Pujin Cheng Sirui Li Xiaoying Tang 45 1 0 16 Jun 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 28 0 0 14 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 48 0 0 04 Jun 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 48 2 0 22 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning Kai Gan Tong Wei 49 11 0 20 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments Jiarong Yang Yuan Liu FedML 42 2 0 08 May 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks Zitong Huang Ze Chen Bowen Dong Chaoqi Liang Erjin Zhou Wangmeng Zuo MoMe CLL 46 3 0 25 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 44 1 0 25 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 46 1 0 10 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani Pradipto Mondal Mayank Mishra Ashish Ramayee Asokan R. V. Babu 37 8 0 03 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning Hongwei Zheng Linyuan Zhou Han Li Jinming Su Xiaoming Wei Xiaoming Xu 37 4 0 01 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model Jihun Kim Dahyun Kim Hyungrok Jung Taeil Oh Jonghyun Choi MQ 47 0 0 30 Mar 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian Harsh Rangwani S. Takemori Kunal Samanta Yuhei Umeda Venkatesh Babu Radhakrishnan 44 0 0 27 Mar 2024
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier Fan Zhang Wei Qin Weijieying Ren Lei Wang Zetong Chen Richang Hong 32 1 0 14 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 34 15 0 09 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 41 4 0 08 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 52 10 0 05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 51 0 0 04 Mar 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach Han Lu Siyu Sun Yichen Xie Liqing Zhang Xiaokang Yang Junchi Yan 37 1 0 01 Mar 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness Jiequan Cui Beier Zhu Xin Wen Xiaojuan Qi Bei Yu Haiqi Zhang 25 7 0 28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 34 12 0 27 Feb 2024
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions Saeed Khorram Mingqi Jiang Mohamad Shahbazi Mohamad H. Danesh Li Fuxin GAN 44 1 0 26 Feb 2024