AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 270 papers shown

Title
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 9 13 0 31 Oct 2021
Blending Anti-Aliasing into Vision Transformer Shengju Qian Hao Shao Yi Zhu Mu Li Jiaya Jia 19 20 0 28 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 19 106 0 26 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators S. Lowe Robert C. Earle Jason dÉon Thomas Trappenberg Sageev Oore 18 1 0 22 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 18 60 0 20 Oct 2021
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021 Yuming Du Wen Guo Yang Xiao Vincent Lepetit 20 10 0 19 Oct 2021
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 11 79 0 18 Oct 2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil Raphael Gontijo-Lopes Rebecca Roelofs 25 28 0 06 Oct 2021
Stochastic Contrastive Learning Jason Ramapuram Dan Busbridge Xavier Suau Russ Webb BDL SSL 39 3 0 01 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 13 28 0 20 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility Ambareesh Revanur Vijay R. Kumar D. Sharma SSL 16 20 0 16 Sep 2021
Image Shape Manipulation from a Single Augmented Training Sample Yael Vinker Eliahu Horwitz Nir Zabari Yedid Hoshen GAN 26 20 0 13 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 54 10 0 13 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 108 66 0 10 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 21 56 0 21 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 54 40 0 07 Aug 2021
Self-supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss Hao Wang E. Ahn Jinman Kim 16 46 0 16 Jul 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 11 131 0 21 Jun 2021
DeepLab2: A TensorFlow Library for Deep Labeling Mark Weber Huiyu Wang Siyuan Qiao Jun Xie Maxwell D. Collins ... Laura Leal-Taixe Alan Yuille Florian Schroff Hartwig Adam Liang-Chieh Chen VLM 20 45 0 17 Jun 2021
Space-time Mixing Attention for Video Transformer Adrian Bulat Juan-Manuel Perez-Rua Swathikiran Sudhakaran Brais Martínez Georgios Tzimiropoulos ViT 25 124 0 10 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 18 8 0 08 Jun 2021
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition Junxiao Shen John J. Dudley Per Ola Kristensson SLR GAN 25 23 0 27 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks Jiahang Wang Sheng Jin Wentao Liu Weizhong Liu Chao Qian Ping Luo AAML 11 56 0 13 May 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 32 799 0 07 May 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 244 2,600 0 04 May 2021
ConTNet: Why not use convolution and transformer at the same time? Haotian Yan Zhe Li Weijian Li Changhu Wang Ming Wu Chuang Zhang ViT 12 76 0 27 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 20 18 0 16 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 22 65 0 09 Apr 2021
AutoSpace: Neural Architecture Search with Less Human Interference Daquan Zhou Xiaojie Jin Xiaochen Lian Linjie Yang Yujing Xue Qibin Hou Jiashi Feng 18 10 0 22 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning Mandela Patrick Yuki M. Asano Bernie Huang Ishan Misra Florian Metze Joao Henriques Andrea Vedaldi AI4TS 16 33 0 18 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 10 19 0 16 Mar 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 33 375 0 14 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph 27 297 0 13 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 25 268 0 02 Mar 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence Dilin Wang Chengyue Gong Meng Li Qiang Liu Vikas Chandra 147 44 0 16 Feb 2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search Guanting Liu Yujie Zhong Sheng Guo Matthew R. Scott Weilin Huang AI4CE 19 2 0 11 Jan 2021
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 226 966 0 13 Dec 2020
Composite Adversarial Attacks Xiaofeng Mao YueFeng Chen Shuhui Wang Hang Su Yuan He Hui Xue AAML 19 47 0 10 Dec 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 19 113 0 23 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation Liang-Chieh Chen Huiyu Wang Siyuan Qiao SSeg 20 47 0 23 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 20 32 0 20 Nov 2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels Yinghui Li Ruiyang Liu Zihao Zhang Ning Ding Ying Shen Li Tao Haitao Zheng 13 0 0 17 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 12 64 0 14 Oct 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 20 10 0 12 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification Oren Nuriel Sagie Benaim Lior Wolf 18 88 0 09 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 17 323 0 07 Oct 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 15 63 0 17 Sep 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 12 128 0 22 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 14 155 0 21 Jul 2020