Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

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

50 / 326 papers shown

Title
Conterfactual Generative Zero-Shot Semantic Segmentation Feihong Shen Jun Liu Ping Hu BDL 31 9 0 11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 34 62 0 10 Jun 2021
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation Gabriel Tjio Ping Liu Joey Tianyi Zhou Rick Siow Mong Goh OOD 27 16 0 08 Jun 2021
Identity and Attribute Preserving Thumbnail Upscaling Noam Gat Sagie Benaim Lior Wolf CVBM 8 2 0 30 May 2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification Qiqi Zhu Weihuan Deng Zhuo Zheng Yanfei Zhong Qingfeng Guan Weihua Lin Liangpei Zhang Deren Li 11 120 0 29 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 17 3 0 28 May 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification Kevin Duarte Y. S. Rawat M. Shah 31 15 0 22 May 2021
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network Takuhei Shoji Noboru Yoshida Toshihisa Tanaka 6 27 0 21 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 24 258 0 05 May 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak Alon Lahav A. Tal 3DV 29 10 0 23 Apr 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams Lukasz Korycki Bartosz Krawczyk 14 39 0 20 Apr 2021
Exploring Visual Engagement Signals for Representation Learning Menglin Jia Zuxuan Wu A. Reiter Claire Cardie Serge J. Belongie Ser-Nam Lim 19 13 0 15 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 25 55 0 13 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 28 37 0 12 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 22 142 0 07 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 18 76 0 06 Apr 2021
A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data Namgil Lee Heejung Yang Hojin Yoo 21 8 0 03 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation Rongjie Li Songyang Zhang Bo Wan Xuming He 185 214 0 01 Apr 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 31 43 0 28 Mar 2021
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation Peishan Cong Xinge Zhu Yuexin Ma 16 9 0 26 Mar 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 29 46 0 23 Mar 2021
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling Hongying Liu Peng Zhao Zhubo Ruan Fanhua Shang Yuanyuan Liu SupR 24 24 0 22 Mar 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark Joakim Bruslund Haurum T. Moeslund 18 60 0 19 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 31 95 0 15 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 27 93 0 02 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 26 256 0 18 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 27 259 0 18 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 124 165 0 29 Jan 2021
End-2-End COVID-19 Detection from Breath & Cough Audio H. Coppock Alexander Gaskell Panagiotis Tzirakis Alice Baird L. Jones Björn W. Schuller 27 15 0 07 Jan 2021
High-Speed Robot Navigation using Predicted Occupancy Maps Kapil D. Katyal A. Polevoy Joseph L. Moore Craig Knuth K. Popek 27 24 0 22 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 231 968 0 13 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 17 6 0 09 Dec 2020
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 21 19 0 30 Nov 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection Weiping Yu Taojiannan Yang C. L. P. Chen 25 90 0 07 Nov 2020
Coping with Label Shift via Distributionally Robust Optimisation J. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 18 70 0 23 Oct 2020
Posterior Re-calibration for Imbalanced Datasets Junjiao Tian Yen-Cheng Liu Nathan Glaser Yen-Chang Hsu Z. Kira 15 62 0 22 Oct 2020
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction Daria Soboleva Ondrej Skopek Márius vSajgalík Victor Cuarbune Felix Weissenberger ... B. Prisacari Daniel Valcarce Justin Lu Rohit Prabhavalkar Balint Miklos 26 9 0 20 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya-Qin Zhang Xiaoyun Zhang Yuehua Li 12 10 0 13 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 48 0 11 Oct 2020
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification Albert Mosella-Montoro Javier Ruiz-Hidalgo 3DPC MDE 19 25 0 23 Sep 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 24 6 0 17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 98 0 16 Sep 2020
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation J. Yu Yuan Chai Yujing Wang Yue Hu Qi Wu CML 27 111 0 16 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 19 101 0 08 Sep 2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation Shaotian Yan Chen Shen Zhongming Jin Jianqiang Huang Rongxin Jiang Yao-wu Chen Xiansheng Hua 20 131 0 02 Sep 2020
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance Selim F. Yilmaz E. Kaynak Aykut Koç H. Dibeklioğlu Suleyman Serdar Kozat 29 26 0 26 Aug 2020
Products-10K: A Large-scale Product Recognition Dataset Yalong Bai Yuxiang Chen Wei Yu Linfang Wang Wei Zhang 44 44 0 24 Aug 2020
Balanced Activation for Long-tailed Visual Recognition Jiawei Ren Cunjun Yu Zhongang Cai Haiyu Zhao VLM 8 2 0 24 Aug 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models T. Wang Selen Pehlivan Jorma T. Laaksonen 24 34 0 18 Aug 2020