A systematic study of the class imbalance problem in convolutional neural networks

15 October 2017

Papers citing "A systematic study of the class imbalance problem in convolutional neural networks"

50 / 177 papers shown

Title
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 21 13 0 28 Sep 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks Ponkrshnan Thiagarajan Susanta Ghosh BDL 25 8 0 23 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 42 7 0 19 Sep 2022
Towards Daily High-resolution Inundation Observations using Deep Learning and EO A. Dasgupta Lasse Hybbeneth B. Waske AI4CE 30 2 0 10 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 25 16 0 28 Jul 2022
Tackling Long-Tailed Category Distribution Under Domain Shifts Xiao Gu Yao Guo Zeju Li Jianing Qiu Qianming Dou Yuxuan Liu Benny Lo Guangxu Yang OOD 45 12 0 20 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Zhilin Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 24 167 0 19 Jul 2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification Chenghua Zeng Huijuan Lu Kanghao Chen Ruixuan Wang Weishi Zheng 29 2 0 14 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 28 43 0 12 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language Zhiying Zhu Weixin Liang James Zou 37 9 0 30 Jun 2022
Learning To Generate Scene Graph from Head to Tail Chao Zheng Xinyu Lyu Yuyu Guo Pengpeng Zeng Jingkuan Song Lianli Gao 17 10 0 23 Jun 2022
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States Sofia Broomé Marcelo Feighelstein Anna Zamansky Gabriel Carreira Lencioni P. Andersen Francisca Pessanha M. Mahmoud Hedvig Kjellström A. A. Salah 38 11 0 16 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 26 4 0 15 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang D. Yoo 21 18 0 11 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 25 6 0 10 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth M. Felsberg Marco Kuhlmann 15 22 0 10 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 23 71 0 08 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 13 123 0 27 May 2022
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification Jun-chen Yu Hao Chang Keda Lu Liwen Zhang Shenshen Du Zhong Zhang 26 2 0 04 May 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 32 59 0 03 May 2022
ELM: Embedding and Logit Margins for Long-Tail Learning Wittawat Jitkrittum A. Menon A. S. Rawat Surinder Kumar 32 11 0 27 Apr 2022
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance Renhui Zhang Tiancheng Lin Rui Zhang Yi Xu 24 4 0 20 Apr 2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild Dávid Rozenberszki Or Litany Angela Dai 3DV VLM 18 183 0 16 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
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 27 0 0 04 Apr 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 25 140 0 27 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
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation Dayan Guan Jiaxing Huang Aoran Xiao Shijian Lu 24 42 0 18 Mar 2022
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling Yike Zhang Xiaobing Feng Yi Y. Liu Songjun Cao Long Ma 19 0 0 09 Mar 2022
Cell nuclei classification in histopathological images using hybrid OLConvNet S. Tripathi S. Singh 13 13 0 21 Feb 2022
Diagnosing Batch Normalization in Class Incremental Learning Minghao Zhou Quanziang Wang Jun Shu Qian Zhao Deyu Meng CLL 48 6 0 16 Feb 2022
Towards an Analytical Definition of Sufficient Data Adam Byerly T. Kalganova 27 4 0 07 Feb 2022
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning Umang Aggarwal Adrian Daniel Popescu Eden Belouadah C´eline Hudelot CLL 14 4 0 01 Feb 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference Wyatt Bridgman Xiaoxuan Zhang G. Teichert M. Khalil K. Garikipati Reese E. Jones UQCV AI4CE 18 5 0 31 Jan 2022
Optimizing Active Learning for Low Annotation Budgets Umang Aggarwal Adrian Daniel Popescu C´eline Hudelot 35 1 0 18 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 19 67 0 04 Jan 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 32 25 0 16 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun J. Choi 20 147 0 01 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 43 175 0 27 Nov 2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition Changyao Tian Wenhai Wang Xizhou Zhu Jifeng Dai Yu Qiao VLM 32 69 0 26 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 32 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 65 52 0 06 Nov 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 24 90 0 20 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 33 157 0 11 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition Shaoyu Zhang Chen Chen Xiujuan Zhang Silong Peng 18 7 0 11 Oct 2021
Long-tailed Distribution Adaptation Zhiliang Peng Wei Huang Zonghao Guo Xiaosong Zhang Jianbin Jiao QiXiang Ye 26 10 0 06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 132 0 06 Oct 2021
Boost Neural Networks by Checkpoints Feng Wang Gu-Yeon Wei Qiao Liu Jinxiang Ou Xian Wei Hairong Lv FedML UQCV 21 10 0 03 Oct 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 109 28 0 21 Sep 2021