RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

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Title
AutoFormer: Searching Transformers for Visual Recognition Minghao Chen Houwen Peng Jianlong Fu Haibin Ling ViT 36 259 0 01 Jul 2021
AdaXpert: Adapting Neural Architecture for Growing Data Shuaicheng Niu Jiaxiang Wu Guanghui Xu Yifan Zhang Yong Guo P. Zhao Peng Wang Mingkui Tan 18 14 0 01 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation Ankit Singh 26 108 0 30 Jun 2021
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 14 19 0 30 Jun 2021
Augmented Shortcuts for Vision Transformers Yehui Tang Kai Han Chang Xu An Xiao Yiping Deng Chao Xu Yunhe Wang ViT 12 39 0 30 Jun 2021
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network Sangmin Bae Sungnyun Kim Jongwoo Ko Gihun Lee SeungJong Noh Se-Young Yun SSL 21 6 0 29 Jun 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 19 163 0 29 Jun 2021
Rethinking Token-Mixing MLP for MLP-based Vision Backbone Tan Yu Xu Li Yunfeng Cai Mingming Sun Ping Li 45 26 0 28 Jun 2021
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals Cédric Rommel Thomas Moreau Joseph Paillard Alexandre Gramfort 19 36 0 25 Jun 2021
Partially fake it till you make it: mixing real and fake thermal images for improved object detection Francesco Bongini Lorenzo Berlincioni Marco Bertini A. Bimbo 3DPC 13 11 0 25 Jun 2021
Video Swin Transformer Ze Liu Jia Ning Yue Cao Yixuan Wei Zheng-Wei Zhang Stephen Lin Han Hu ViT 44 1,444 0 24 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 34 81 0 24 Jun 2021
VOLO: Vision Outlooker for Visual Recognition Li-xin Yuan Qibin Hou Zihang Jiang Jiashi Feng Shuicheng Yan ViT 52 313 0 24 Jun 2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition Qibin Hou Zihang Jiang Li-xin Yuan Mingg-Ming Cheng Shuicheng Yan Jiashi Feng ViT MLLM 24 205 0 23 Jun 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 32 6 0 22 Jun 2021
Credal Self-Supervised Learning Julian Lienen Eyke Hüllermeier SSL 22 21 0 22 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning Hao Tan Jie Lei Thomas Wolf Mohit Bansal 31 65 0 21 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 17 185 0 21 Jun 2021
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving Jianhua Han Xiwen Liang Hang Xu Kai Chen Lanqing Hong ... Chao Ye Wei Zhang Zhenguo Li Xi Liang Chunjing Xu 6 75 0 21 Jun 2021
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples Xuanyu Wu Xuhong Li Haoyi Xiong Xiao Zhang Siyu Huang Dejing Dou 13 1 0 20 Jun 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 39 614 0 18 Jun 2021
It's FLAN time! Summing feature-wise latent representations for interpretability An-phi Nguyen María Rodríguez Martínez FAtt 13 0 0 18 Jun 2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention Tomoki Watanabe Paolo Favaro GAN 18 3 0 18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng K. Jia Lei Zhang CLL 28 10 0 18 Jun 2021
XCiT: Cross-Covariance Image Transformers Alaaeldin El-Nouby Hugo Touvron Mathilde Caron Piotr Bojanowski Matthijs Douze ... Ivan Laptev Natalia Neverova Gabriel Synnaeve Jakob Verbeek Hervé Jégou ViT 36 497 0 17 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 24 21 0 17 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 12 37 0 16 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 365 0 16 Jun 2021
Optimizing Data Augmentation Policy Through Random Unidimensional Search Xiaomeng Dong Michael Potter Gaurav Kumar Yun-Chan Tsai V. R. Saripalli Theodore Trafalis 14 0 0 16 Jun 2021
ParticleAugment: Sampling-Based Data Augmentation Alexander Tsaregorodtsev Vasileios Belagiannis 21 2 0 16 Jun 2021
Canonical Face Embeddings David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 24 7 0 15 Jun 2021
Last Layer Marginal Likelihood for Invariance Learning Pola Schwobel Martin Jørgensen Sebastian W. Ober Mark van der Wilk BDL UQCV 13 28 0 14 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 35 78 0 13 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation Ivan Grubišić Marin Orsic Sinisa Segvic 11 4 0 13 Jun 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers Mingyu Ding Xiaochen Lian Linjie Yang Peng Wang Xiaojie Jin Zhiwu Lu Ping Luo ViT 32 59 0 11 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 33 51 0 11 Jun 2021
Scaling Vision with Sparse Mixture of Experts C. Riquelme J. Puigcerver Basil Mustafa Maxim Neumann Rodolphe Jenatton André Susano Pinto Daniel Keysers N. Houlsby MoE 12 575 0 10 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
Separating Boundary Points via Structural Regularization for Very Compact Clusters Xin Ma Won Hwa Kim 9 0 0 09 Jun 2021
CLCC: Contrastive Learning for Color Constancy Yi-Chen Lo Chia-Che Chang Hsuan-Chao Chiu Yu-Hao Huang Chia-Ping Chen Yu-Lin Chang Kevin Jou 11 49 0 09 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization Léo Andéol Yusei Kawakami Yuichiro Wada Takafumi Kanamori K. Müller G. Montavon OOD 37 7 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 49 1,167 0 09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 19 302 0 08 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 17 83 0 08 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 26 8 0 08 Jun 2021
On the Connection between Local Attention and Dynamic Depth-wise Convolution Qi Han Zejia Fan Qi Dai Lei-huan Sun Ming-Ming Cheng Jiaying Liu Jingdong Wang ViT 21 105 0 08 Jun 2021
A Lightweight and Gradient-Stable Neural Layer Yueyao Yu Yin Zhang 23 0 0 08 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 13 7 0 07 Jun 2021