Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

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Title
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data Yancheng Pan Fan Xie Huijing Zhao CVBM 36 7 0 01 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 27 2 0 28 Feb 2022
Taming the Long Tail of Deep Probabilistic Forecasting Jedrzej Kozerawski Mayank Sharan Rose Yu AI4TS 21 7 0 27 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition Alex Long Wei Yin Thalaiyasingam Ajanthan Vu-Linh Nguyen Pulak Purkait Ravi Garg Alan Blair Chunhua Shen Anton Van Den Hengel 21 107 0 22 Feb 2022
Imbalanced Classification via Explicit Gradient Learning From Augmented Data Bronislav Yasinnik Moshe Salhov Ofir Lindenbaum Amir Averbuch 19 0 0 21 Feb 2022
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition Byeongjun Park Jeongsoo Kim Seungju Cho Heeseon Kim Changick Kim 29 2 0 15 Feb 2022
Assessment of contextualised representations in detecting outcome phrases in clinical trials Micheal Abaho Danushka Bollegala P. Williamson S. Dodd 32 8 0 13 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 27 33 0 11 Feb 2022
Self-Paced Imbalance Rectification for Class Incremental Learning Zhiheng Liu Kai Zhu Yang Cao CLL 78 0 0 08 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo Li Ding Zhao 37 146 0 04 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 29 11 0 03 Feb 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning Jie Zhang Lei Zhang Gang Li Chao Wu GAN AAML 47 10 0 28 Jan 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning Hao-Chiang Shao Hsing-Lei Ping Kuo-shiuan Chen Weng-Tai Su Chia-Wen Lin Shao-Yun Fang Pin-Yian Tsai Yan-Hsiu Liu 30 7 0 24 Jan 2022
Perceptual cGAN for MRI Super-resolution Sahar Almahfouz Nasser Saqib Nizam Shamsi Valay Bundele Bhavesh Garg A. Sethi GAN MedIm 30 10 0 23 Jan 2022
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition Chingis Oinar B. Le Simon S. Woo CVBM 31 112 0 19 Jan 2022
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation Chao Chen Yibing Zhan Baosheng Yu Liu Liu Yong Luo Bo Du 33 40 0 18 Jan 2022
Predicting Terrorist Attacks in the United States using Localized News Data Steven J. Krieg Christian W. Smith R. Chatterjee Nitesh Chawla OOD 21 5 0 12 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance Yin-Yin He Peizhen Zhang Xiu-Shen Wei Xinming Zhang Jian Sun ISeg 47 24 0 08 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 24 67 0 04 Jan 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data Shenwang Jiang Jianan Li Ying Wang Bo Huang Zhang Zhang Tingfa Xu NoLa 34 31 0 30 Dec 2021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification Beier Zhu Yulei Niu Xiansheng Hua Hanwang Zhang 25 42 0 29 Dec 2021
Federated Learning for Cross-block Oil-water Layer Identification Bingyang Chena Xingjie Zeng Weishan Zhang 45 1 0 29 Dec 2021
General Greedy De-bias Learning Xinzhe Han Shuhui Wang Chi Su Qingming Huang Qi Tian 11 7 0 20 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 37 26 0 16 Dec 2021
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning Zhecan Wang Haoxuan You Liunian Harold Li Alireza Zareian Suji Park Yiqing Liang Kai-Wei Chang Shih-Fu Chang ReLM LRM 18 30 0 16 Dec 2021
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Xiaohua Chen Yucan Zhou Dayan Wu Wanqian Zhang Yu Zhou Bo Li Weiping Wang 15 52 0 15 Dec 2021
Adversarial Examples for Extreme Multilabel Text Classification Mohammadreza Qaraei Rohit Babbar 18 6 0 14 Dec 2021
Margin Calibration for Long-Tailed Visual Recognition Yidong Wang Bowen Zhang Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki MQ 16 27 0 14 Dec 2021
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness Lili Pan Mingming Meng Yazhou Ren Yali Zheng Zenglin Xu 23 1 0 13 Dec 2021
You Only Need End-to-End Training for Long-Tailed Recognition Zhiwei Zhang 28 2 0 11 Dec 2021
Neural Belief Propagation for Scene Graph Generation Daqi Liu M. Bober J. Kittler GNN 21 8 0 10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 21 44 0 08 Dec 2021
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems Priyank Kalgaonkar M. El-Sharkawy 3DH 25 5 0 01 Dec 2021
Subtask-dominated Transfer Learning for Long-tail Person Search Chuang Liu Han Yang Qin Zhou Shibao Zheng 18 0 0 01 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 22 147 0 01 Dec 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 39 1 0 01 Dec 2021
A Simple Long-Tailed Recognition Baseline via Vision-Language Model Teli Ma Shijie Geng Mengmeng Wang Jing Shao Jiasen Lu Hongsheng Li Peng Gao Yu Qiao VLM 40 46 0 29 Nov 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 48 176 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 70 0 26 Nov 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 14 9 0 25 Nov 2021
Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning Zhining Liu Pengfei Wei Zhepei Wei Boyang Yu Jing Jiang Wei Cao Jiang Bian Yi Chang 27 6 0 24 Nov 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Xiangyang Ji Antoni B. Chan Rong Jin 22 37 0 24 Nov 2021
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 22 5 0 18 Nov 2021
Trustworthy Long-Tailed Classification Bolian Li Zongbo Han Haining Li Huazhu Fu Changqing Zhang EDL 35 71 0 17 Nov 2021
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition Lie Ju Zhen Yu Lin Wang Xin Zhao Xin Wang Paul Bonnington Z. Ge 26 14 0 17 Nov 2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder Joakim Bruslund Haurum Meysam Madadi Sergio Escalera T. Moeslund AI4CE 15 8 0 15 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge Belongie 74 279 0 11 Nov 2021
Feature Generation for Long-tail Classification Rahul Vigneswaran M. Law V. Balasubramanian Makarand Tapaswi VLM 37 16 0 10 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 39 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 70 52 0 06 Nov 2021