Faster AutoAugment: Learning Augmentation Strategies using Backpropagation

European Conference on Computer Vision (ECCV), 2019

16 November 2019

Papers citing "Faster AutoAugment: Learning Augmentation Strategies using Backpropagation"

49 / 99 papers shown

Title
Augmentation-Free Graph Contrastive Learning with Performance Guarantee Haonan Wang Jieyu Zhang Qi Zhu Wei Huang 204 31 0 11 Apr 2022
A Survey of Robust 3D Object Detection Methods in Point Clouds Walter Zimmer E. Erçelik Xingcheng Zhou Xavier Jair Diaz Ortiz Alois C. Knoll 3DPC 262 22 0 31 Mar 2022
Deep AutoAugmentInternational Conference on Learning Representations (ICLR), 2022 Yu Zheng Zikai Zhang Shen Yan Mi Zhang ViT 267 29 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher KnowledgeComputer Vision and Pattern Recognition (CVPR), 2022 Teppei Suzuki ViT 252 61 0 25 Feb 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification Jacob König M. Jenkins M. Mannion P. Barrie Gordon Morison 211 17 0 08 Feb 2022
Crafting Better Contrastive Views for Siamese Representation LearningComputer Vision and Pattern Recognition (CVPR), 2022 Xiang Peng Kai Wang Zheng Hua Zhu Mang Wang Yang You SSL 288 120 0 07 Feb 2022
Deep invariant networks with differentiable augmentation layersNeural Information Processing Systems (NeurIPS), 2022 Cédric Rommel Thomas Moreau Alexandre Gramfort OOD 356 10 0 04 Feb 2022
Adversarial Masking for Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2022 Yuge Shi N. Siddharth Juil Sock Adam R. Kosiorek SSL 423 99 0 31 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 192 24 0 24 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced DataNeural Information Processing Systems (NeurIPS), 2022 Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 175 80 0 04 Jan 2022
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Youngjune Lee Oh Joon Kwon Haejun Lee Joonyoung Kim Kangwook Lee Kee-Eung Kim 165 11 0 07 Dec 2021
Object-Aware Cropping for Self-Supervised Learning Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Abhyuday N. Jagannatha Janit Anjaria Abhishek Sharma David Jacobs Dilip Krishnan SSL 393 27 0 01 Dec 2021
Challenges of Adversarial Image Augmentations Arno Blaas Xavier Suau Jason Ramapuram N. Apostoloff Luca Zappella AAML 94 4 0 24 Nov 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Guang Cheng 288 17 0 16 Nov 2021
Contrastive Representation Learning with Trainable Augmentation Channel Masanori Koyama Kentaro Minami Takeru Miyato Y. Gal 148 1 0 15 Nov 2021
Dynamic Data Augmentation with Gating Networks for Time Series RecognitionInternational Conference on Pattern Recognition (ICPR), 2021 Daisuke Oba Shinnosuke Matsuo Brian Kenji Iwana AI4TS 194 1 0 05 Nov 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 334 44 0 19 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 176 5 0 30 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 186 186 0 21 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 138 35 0 01 Sep 2021
Augmentation Pathways Network for Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yalong Bai Mohan Zhou Wei Zhang Bowen Zhou Tao Mei 101 4 0 26 Jul 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language NavigationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 198 20 0 23 Jul 2021
An overview of mixing augmentation methods and augmentation strategiesArtificial Intelligence Review (AIR), 2021 Dominik Lewy Jacek Mańdziuk 180 72 0 21 Jul 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG SignalsInternational Conference on Learning Representations (ICLR), 2021 Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 250 45 0 25 Jun 2021
ParticleAugment: Sampling-Based Data Augmentation Alexander Tsaregorodtsev Vasileios Belagiannis 159 5 0 16 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions Scott Mahan Henry Kvinge T. Doster OOD 92 3 0 07 Jun 2021
RegMix: Data Mixing Augmentation for Regression Seonghyeon Hwang Steven Euijong Whang UQCV 192 12 0 07 Jun 2021
Adaptive Test-Time Augmentation for Low-Power CPU Luca Mocerino R. G. Rizzo Valentino Peluso A. Calimera Enrico Macii TTA 125 4 0 13 May 2021
Contrastive Learning with Stronger AugmentationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Tianlin Li Guo-Jun Qi CLL 276 285 0 15 Apr 2021
Direct Differentiable Augmentation SearchIEEE International Conference on Computer Vision (ICCV), 2021 Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 228 44 0 09 Apr 2021
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity MaximizationIEEE International Conference on Computer Vision (ICCV), 2021 Zirui Liu Haifeng Jin Ting-Hsiang Wang Kaixiong Zhou Helen Zhou 186 23 0 26 Mar 2021
Local Patch AutoAugment with Multi-Agent CollaborationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Shiqi Lin Tao Yu Ruoyu Feng Xin Li Xin Jin Zhibo Chen 177 16 0 20 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit DifferentiationComputer Vision and Pattern Recognition (CVPR), 2021 Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 121 23 0 10 Mar 2021
Searching for Alignment in Face RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2021 Xiaqing Xu Qiang Meng Yunxiao Qin Jianzhu Guo Chenxu Zhao Feng Zhou Zhen Lei CVBM 169 18 0 10 Feb 2021
ResizeMix: Mixing Data with Preserved Object Information and True Labels Jie Qin Jiemin Fang Qian Zhang Wenyu Liu Xingang Wang Xinggang Wang 397 97 0 21 Dec 2020
Joint Search of Data Augmentation Policies and Network Architectures Taiga Kashima Yoshihiro Yamada Shunta Saito 3DPC 179 5 0 17 Dec 2020
Differentiable Data Augmentation with Kornia Jian Shi Edgar Riba Dmytro Mishkin Francesc Moreno Anguelos Nicolaou 108 7 0 19 Nov 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 186 76 0 22 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 129 9 0 15 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li Rong Jin 169 18 0 03 Oct 2020
Encoding Robustness to Image Style via Adversarial Feature PerturbationsNeural Information Processing Systems (NeurIPS), 2020 Manli Shu Zuxuan Wu Micah Goldblum Tom Goldstein AAML OOD 190 22 0 18 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 367 117 0 04 Aug 2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng I. Laradji Ismail Ben Ayed David Vazquez M. Pedersoli 100 38 0 25 Jun 2020
Meta Approach to Data Augmentation OptimizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 170 40 0 14 Jun 2020
On the Generalization Effects of Linear Transformations in Data AugmentationInternational Conference on Machine Learning (ICML), 2020 Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 281 87 0 02 May 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 143 3 0 09 Apr 2020
Generative Latent Implicit Conditional Optimization when Learning from Small Sample Idan Azuri D. Weinshall VLM CLL 236 4 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge DistillationEuropean Conference on Computer Vision (ECCV), 2020 Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 153 66 0 25 Mar 2020
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019 Xin He Kaiyong Zhao Xiaowen Chu 781 1,663 0 02 Aug 2019