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
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 35 221 0 15 May 2020
A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery J. Brandt F. Stolle 19 3 0 13 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 155 372 0 09 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 46 298 0 08 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 30 312 0 06 May 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 28 1 0 26 Apr 2020
The iWildCam 2020 Competition Dataset Sara Beery Elijah Cole Arvi Gjoka 14 91 0 21 Apr 2020
The 1st Agriculture-Vision Challenge: Methods and Results M. Chiu Xingqian Xu Kai Wang Jennifer Hobbs N. Hovakimyan ... S. Innani Prasad Dutande Bhakti Baheti Sanjay Talbar Jianyu Tang 46 24 0 21 Apr 2020
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification Michał Koziarski 9 11 0 07 Apr 2020
From Generalized zero-shot learning to long-tail with class descriptors Dvir Samuel Yuval Atzmon Gal Chechik VLM 32 1 0 05 Apr 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples Lili Pan Shijie Ai Yazhou Ren Zenglin Xu 15 16 0 03 Apr 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 27 80 0 02 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 17 220 0 01 Apr 2020
Distance in Latent Space as Novelty Measure M. P. Philipsen T. Moeslund 33 0 0 31 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 37 261 0 24 Mar 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 269 457 0 11 Mar 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks Xiangrui Li X. Li Deng Pan D. Zhu 22 19 0 04 Mar 2020
Deep Multi-Modal Sets A. Reiter Menglin Jia Pu Yang Ser-Nam Lim BDL 27 4 0 03 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 19 111 0 02 Mar 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective Jialun Liu Yifan Sun Chuchu Han Zhaopeng Dou Wenhui Li 18 206 0 25 Feb 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis Q. H. Cap H. Uga S. Kagiwada Hitoshi Iyatomi MedIm 32 144 0 24 Feb 2020
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition Hao-Chiang Shao Kang-Yu Liu Chia-Wen Lin Jiwen Lu CVBM 3DH 14 2 0 23 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 20 49 0 17 Feb 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Krishna Kumar Singh D. Mahajan Kristen Grauman Yong Jae Lee Matt Feiszli Deepti Ghadiyaram 29 107 0 09 Jan 2020
Bridging Knowledge Graphs to Generate Scene Graphs Alireza Zareian Svebor Karaman Shih-Fu Chang 21 209 0 07 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 30 281 0 06 Jan 2020
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment Muneki Yasuda Yeo Xian En S. Ueno 18 1 0 06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 39 99 0 06 Jan 2020
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 26 529 0 03 Jan 2020
Measuring Dataset Granularity Huayu Chen Zeqi Gu D. Mahajan Laurens van der Maaten Serge J. Belongie Ser-Nam Lim 29 13 0 21 Dec 2019
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 34 132 0 19 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 21 25 0 10 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 784 0 05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 30 76 0 04 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 38 357 0 26 Nov 2019
Improvement of Batch Normalization in Imbalanced Data Muneki Yasuda S. Ueno 9 1 0 25 Nov 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 16 1,200 0 20 Nov 2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression Zhaohui Zheng Ping Wang Wei Liu Jinze Li Rongguang Ye Dongwei Ren NoLa 68 3,612 0 19 Nov 2019
Jointly De-biasing Face Recognition and Demographic Attribute Estimation Sixue Gong Xiaoming Liu Anil K. Jain CML 28 26 0 19 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 106 1,190 0 21 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 25 61 0 14 Oct 2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data Utkarsh Ojha Krishna Kumar Singh Cho-Jui Hsieh Yong Jae Lee DRL 32 3 0 01 Oct 2019
Class-dependent Compression of Deep Neural Networks R. Entezari O. Saukh 21 7 0 23 Sep 2019
Better AI through Logical Scaffolding Nikos Arechiga Jonathan A. DeCastro Soonho Kong Karen Leung 8 1 0 12 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 36 458 0 31 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 53 1,570 0 18 Jun 2019
The Herbarium Challenge 2019 Dataset Kiat Chuan Tan Yulong Liu B. Ambrose Melissa C. Tulig Serge J. Belongie 16 51 0 12 Jun 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification Oisin Mac Aodha Elijah Cole Pietro Perona 27 162 0 12 Jun 2019
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification Xiangrui Li D. Zhu 24 0 0 10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 30 59 0 07 Jun 2019