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
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition Yifan Zhang Bryan Hooi Lanqing Hong Jiashi Feng 25 126 0 20 Jul 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Chenyu You Caiming Xiong Guosheng Lin FaML 83 1,892 0 16 Jul 2021
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition Hao Chang Guochen Xie Jun Yu Q. Ling 16 0 0 14 Jul 2021
Learning a Discriminant Latent Space with Neural Discriminant Analysis Mai Lan Ha Gianni Franchi Emanuel Aldea V. Blanz 25 1 0 13 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen Yuntao Du Yi Zhang Shuwei Qian Chong-Jun Wang 29 28 0 10 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Percy Liang Y. Carmon Ludwig Schmidt OODD OOD 25 267 0 09 Jul 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 19 6 0 07 Jul 2021
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows Xiaoyi Dong Jianmin Bao Dongdong Chen Weiming Zhang Nenghai Yu Lu Yuan Dong Chen B. Guo ViT 51 959 0 01 Jul 2021
AutoFormer: Searching Transformers for Visual Recognition Minghao Chen Houwen Peng Jianlong Fu Haibin Ling ViT 49 259 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 27 14 0 01 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation Ankit Singh 34 108 0 30 Jun 2021
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization Marin Scalbert Maria Vakalopoulou Florent Couzinié-Devy 22 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 19 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 28 6 0 29 Jun 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 21 164 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 37 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 26 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 1,446 0 24 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 54 82 0 24 Jun 2021
VOLO: Vision Outlooker for Visual Recognition Li-xin Yuan Qibin Hou Zihang Jiang Jiashi Feng Shuicheng Yan ViT 52 315 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 27 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 Joey Tianyi Zhou 39 65 0 21 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets Arlind Kadra Marius Lindauer Frank Hutter Josif Grabocka 23 185 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 16 77 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 21 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 66 617 0 18 Jun 2021
It's FLAN time! Summing feature-wise latent representations for interpretability An-phi Nguyen María Rodríguez Martínez FAtt 18 0 0 18 Jun 2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention Tomoki Watanabe Paolo Favaro GAN 29 3 0 18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng Kui 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 42 499 0 17 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 27 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 20 38 0 16 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better Gaurav Menghani VLM MedIm 23 367 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 19 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 32 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 26 28 0 14 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 42 78 0 13 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation Ivan Grubišić Marin Orsic Sinisa Segvic 19 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 42 59 0 11 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 39 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 29 577 0 10 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 44 64 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 22 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