CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

13 May 2019

Papers citing "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features"

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Title
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 12 39 0 01 Apr 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 25 51 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 38 120 0 26 Mar 2020
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary Sherif Abdelkarim Aniket Agarwal Panos Achlioptas Jun Chen Jiaji Huang Boyang Albert Li Kenneth Church Mohamed Elhoseiny VLM 32 18 0 25 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Richard I. Hartley Byron Boots UQCV 14 68 0 15 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 30 103 0 11 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 19 98 0 10 Mar 2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion Adam Kortylewski Ju He Qing Liu Alan Yuille 11 91 0 10 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 345 53 0 09 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 16 107 0 08 Mar 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 10 3 0 02 Mar 2020
Do CNNs Encode Data Augmentations? Eddie Q. Yan Yanping Huang OOD 13 5 0 29 Feb 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 291 0 28 Feb 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 28 117 0 27 Feb 2020
FMix: Enhancing Mixed Sample Data Augmentation Ethan Harris Antonia Marcu Matthew Painter M. Niranjan Adam Prugel-Bennett Jonathon S. Hare AAML 19 26 0 27 Feb 2020
Rethinking the Route Towards Weakly Supervised Object Localization Chen-Da Liu-Zhang Yunhao Cao Jianxin Wu WSOL 13 99 0 26 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 21 134 0 25 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 22 145 0 25 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 27 56 0 20 Feb 2020
Regularized Evolutionary Population-Based Training J. Liang Santiago Gonzalez H. Shahrzad Risto Miikkulainen 14 9 0 11 Feb 2020
Adversarial Data Encryption Yingdong Hu Liang Zhang W. Shan Xiaoxiao Qin Jinghuai Qi Zhenzhou Wu Yang Yuan FedML MedIm 23 0 0 10 Feb 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 300 186 0 21 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field Bum Jun Kim Gyogwon Koo Hyeyeon Choi Sang Woo Kim 6 7 0 15 Jan 2020
Structured Consistency Loss for semi-supervised semantic segmentation Jongmok Kim JooYoung Jang Hyunwoo Park SeongAh Jeong 17 65 0 14 Jan 2020
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 27 310 0 13 Jan 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 106 1,183 0 24 Dec 2019
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration Kanil Patel William H. Beluch Dan Zhang Michael Pfeiffer Bin Yang UQCV 27 30 0 16 Dec 2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images Yi Zhou Boyang Wang Xiaodong He Shanshan Cui Ling Shao GAN MedIm 27 92 0 10 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 21 57 0 06 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 45 1,276 0 05 Dec 2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy Ke Sun Bin-Xia Yu Zhouchen Lin Zhanxing Zhu 15 5 0 21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Tianlin Li Daisuke Kihara Jiebo Luo Guo-Jun Qi OOD 17 34 0 21 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 20 203 0 16 Nov 2019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection Weihong Lin Jia-Xing Zhong Shan Liu Thomas H. Li Ge Li ObjD 12 111 0 08 Nov 2019
Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3 Adel Ammar Anis Koubaa Mohanned Ahmed Abdulrahman Saad Bilel Benjdira 19 89 0 16 Oct 2019
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion Mingqing Xiao Adam Kortylewski Ruihai Wu Siyuan Qiao Wei Shen Alan Yuille 10 14 0 09 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement Zhiqiang Shen Zhankui He Wanyun Cui Jiahui Yu Yutong Zheng Chenchen Zhu Marios Savvides AAML 22 5 0 22 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 31 0 15 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models Christoph Kamann Carsten Rother VLM UQCV 19 160 0 14 Aug 2019
ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules Hyojin Park Lars Lowe Sjösund Y. Yoo Jihwan Bang Nojun Kwak SSeg 23 25 0 08 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 83 1,422 0 16 Jul 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 52 420 0 14 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 29 29 0 05 Jun 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 9 62 0 28 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 19 588 0 01 May 2019
Res2Net: A New Multi-scale Backbone Architecture Shanghua Gao Ming-Ming Cheng Kai Zhao Xinyu Zhang Ming-Hsuan Yang Philip Torr 31 2,351 0 02 Apr 2019
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 33 1,938 0 18 Sep 2018