RecursiveMix: Mixed Learning with History

14 March 2022

Lingfeng Yang

Xiang Li

Jian Yang

Papers citing "RecursiveMix: Mixed Learning with History"

50 / 60 papers shown

Title
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 57 106 0 18 Nov 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning Wei Feng Yuanjiang Wang Lihua Ma Ye Yuan Chi Zhang SSL 23 13 0 24 Aug 2021
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen Hao Fei Tie-Yan Liu 62 430 0 28 Jun 2021
PVT v2: Improved Baselines with Pyramid Vision Transformer Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT AI4TS 83 1,634 0 25 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 587 5,920 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 132 1,837 0 05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 339 21,175 0 25 Mar 2021
Spatially Consistent Representation Learning Byungseok Roh Wuhyun Shin Ildoo Kim Sungwoong Kim SSL 48 89 0 10 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 450 3,678 0 24 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 229 180 0 05 Feb 2021
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data Shaoli Huang Xinchao Wang Dacheng Tao 34 117 0 09 Dec 2020
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Xiang Li Wenhai Wang Xiaolin Hu Jun Li Jinhui Tang Jian Yang ObjD 36 242 0 25 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 408 40,217 0 22 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 60 387 0 15 Sep 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 47 179 0 22 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 278 6,718 0 13 Jun 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li Wenhai Wang Lijun Wu Shuo Chen Xiaolin Hu Jun Li Jinhui Tang Jian Yang ObjD 52 1,171 0 08 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 41 228 0 02 Jun 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models Dan Iter Kelvin Guu L. Lansing Dan Jurafsky 27 78 0 20 May 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 54 99 0 10 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 423 3,397 0 09 Mar 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 30 135 0 25 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 263 18,607 0 13 Feb 2020
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 72 311 0 13 Jan 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 86 247 0 14 Dec 2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection Shifeng Zhang Cheng Chi Yongqiang Yao Zhen Lei Stan Z. Li ObjD 143 1,527 0 05 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 115 12,007 0 13 Nov 2019
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 157 1,894 0 08 Aug 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 116 2,845 0 17 Jun 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 139 1,931 0 06 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 165 1,463 0 03 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 587 4,735 0 13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 126 3,009 0 06 May 2019
Hybrid Task Cascade for Instance Segmentation Kai-xiang Chen Jiangmiao Pang Jiaqi Wang Yu Xiong Xiaoxiao Li ... Ziwei Liu Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin ISeg 115 1,298 0 22 Jan 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 263 1,407 0 04 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 99 911 0 30 Oct 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 51 145 0 14 Aug 2018
Unified Perceptual Parsing for Scene Understanding Tete Xiao Yingcheng Liu Bolei Zhou Yuning Jiang Jian Sun OCL VOS 124 1,859 0 26 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 233 10,152 0 10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 148 3,437 0 05 May 2018
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 64 284 0 05 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 251 9,687 0 25 Oct 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 83 3,614 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 94 3,739 0 15 Aug 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 307 27,018 0 20 Mar 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 381 11,941 0 04 Dec 2016
Deep Pyramidal Residual Networks Dongyoon Han Jiwhan Kim Junmo Kim 82 690 0 10 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 168 2,543 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 639 36,599 0 25 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 332 1,850 0 18 Aug 2016