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
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 75 166 0 17 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 132 716 0 14 Jul 2020
Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions Serim Ryou Michael R. Maser Alexander Cui Travis J DeLano Yisong Yue S. Reisman AI4CE 49 6 0 08 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 125 237 0 08 Jul 2020
Subject-Aware Contrastive Learning for Biosignals Joseph Y. Cheng Hanlin Goh Kaan Dogrusoz Oncel Tuzel Erdrin Azemi SSL 70 112 0 30 Jun 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao Yining Chen Junwei Lu Nikos Arechiga Adrien Gaidon Tengyu Ma 100 68 0 29 Jun 2020
Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection Yongqiang Dou Haocheng Yang Maolin Yang Yanyan Xu Dengfeng Ke AAML 52 3 0 25 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification Jingtian Peng Chang Xiao Yifan Li 109 45 0 22 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification Rahul Duggal Scott Freitas Sunny Dhamnani Duen Horng Chau Jimeng Sun 106 30 0 22 Jun 2020
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss Mahmoud Daif Shunsuke Kitada Hitoshi Iyatomi VLM 55 3 0 20 Jun 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 169 267 0 18 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 147 414 0 13 Jun 2020
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses Trong Huy Phan Kazuma Yamamoto 71 73 0 02 Jun 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method Jian Jia Houjing Huang Wenjie Yang Xiaotang Chen Kaiqi Huang 95 44 0 25 May 2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels Junran Peng Xingyuan Bu Ming Sun Zhaoxiang Zhang Tieniu Tan Junjie Yan VLM ObjD 82 60 0 18 May 2020
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them Dawid Jurkiewicz Łukasz Borchmann Izabela Kosmala Filip Graliñski 53 40 0 16 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 99 231 0 15 May 2020
A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery J. Brandt F. Stolle 44 3 0 13 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 220 383 0 09 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 175 311 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 69 311 0 06 May 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data Ruchit Rawal Prabhu Pradhan 42 1 0 26 Apr 2020
The iWildCam 2020 Competition Dataset Sara Beery Elijah Cole Arvi Gjoka 145 92 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 138 24 0 21 Apr 2020
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification Michał Koziarski 49 11 0 07 Apr 2020
From Generalized zero-shot learning to long-tail with class descriptors Dvir Samuel Yuval Atzmon Gal Chechik VLM 79 1 0 05 Apr 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples Lili Pan Shijie Ai Yazhou Ren Zenglin Xu 72 16 0 03 Apr 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 118 83 0 02 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 111 225 0 01 Apr 2020
Distance in Latent Space as Novelty Measure M. P. Philipsen T. Moeslund 49 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 149 267 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 333 466 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 55 22 0 04 Mar 2020
Deep Multi-Modal Sets A. Reiter Menglin Jia Pu Yang Ser-Nam Lim BDL 79 4 0 03 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 107 116 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 104 207 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 81 150 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 26 2 0 23 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 60 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 78 109 0 09 Jan 2020
Bridging Knowledge Graphs to Generate Scene Graphs Alireza Zareian Svebor Karaman Shih-Fu Chang 111 212 0 07 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 136 287 0 06 Jan 2020
Consistent Batch Normalization for Weighted Loss in Imbalanced-Data Environment Muneki Yasuda Yeo Xian En S. Ueno 42 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 154 102 0 06 Jan 2020
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 76 538 0 03 Jan 2020
Measuring Dataset Granularity Huayu Chen Zeqi Gu D. Mahajan Laurens van der Maaten Serge J. Belongie Ser-Nam Lim 75 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 200 139 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 70 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 380 806 0 05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 155 76 0 04 Dec 2019