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mixup: Beyond Empirical Risk Minimization
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2017
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Hongyi Zhang
Moustapha Cissé
Yann Dauphin
David LĂłpez-Paz
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2
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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2019
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Mingxing Tan
Quoc V. Le
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2
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On Network Design Spaces for Visual Recognition
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2019
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Ilija Radosavovic
Justin Johnson
Saining Xie
WanâYen Lo
Piotr DollĂĄr
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2
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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Designing Network Design Spaces
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2020
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Ilija Radosavovic
Raj Prateek Kosaraju
Ross Girshick
Kaiming He
Piotr DollĂĄr
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
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2017
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Priya Goyal
Piotr DollĂĄr
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
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2
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AutoAugment: Learning Augmentation Policies from Data
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2018
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Ekin D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
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1
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Do CIFAR-10 Classifiers Generalize to CIFAR-10?
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2018
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Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
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1
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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
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2018
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Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix A. Wichmann
Wieland Brendel
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1
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Decoupled Weight Decay Regularization
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2017
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Ilya Loshchilov
Frank Hutter
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1
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MultiGrain: a unified image embedding for classes and instances
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2019
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Maxim Berman
Hervé Jeǔou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
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1
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Augment your batch: better training with larger batches
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2019
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Elad Hoffer
Tal BenâNun
Itay Hubara
Niv Giladi
Torsten Hoefler
Daniel Soudry
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1
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A Systematic Framework for Natural Perturbations from Videos
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2019
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Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
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1
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Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
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2019
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Raphael Gontijo Lopes
Dong Yin
Ben Poole
Justin Gilmer
Ekin D. Cubuk
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1
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A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
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2017
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Samuel Dodge
Lina J. Karam
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1
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Robustness properties of Facebook's ResNeXt WSL models
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2019
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A. Emin Orhan
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1
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Non-local Neural Networks
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2018
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Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
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1
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Attention is All you Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ćukasz Kaiser
Illia Polosukhin
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1
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Learning Deep Transformer Models for Machine Translation
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2019
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Qiang Wang
Bei Li
Tong Xiao
Jingbo Zhu
Changliang Li
Derek F. Wong
Lidia S. Chao
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1
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Exploring the Limits of Weakly Supervised Pretraining
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2018
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Dhruv Mahajan
Ross Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin Bharambe
Laurens van der Maaten
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1
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Wide Residual Networks
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2016
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Sergey Zagoruyko
Nikos Komodakis
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1
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Stand-Alone Self-Attention in Vision Models
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2019
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Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
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1
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A Fourier Perspective on Model Robustness in Computer Vision
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2019
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Dong Yin
Raphael Gontijo Lopes
Jonathon Shlens
Ekin D. Cubuk
Justin Gilmer
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1
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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
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2019
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Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
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1
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Do Image Classifiers Generalize Across Time
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2019
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Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
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1
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PDF
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Random Erasing Data Augmentation
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2020
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Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
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1
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Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
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2020
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Jungkyu Lee
Taeryun Won
Tae Kwan Lee
Hyemin Lee
Geonmo Gu
Kiho Hong
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1
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ResNeSt: Split-Attention Networks
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2022
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Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Haibin Lin
Zhi Zhang
Yue Sun
Tong He
Jonas Mueller
R. Manmatha
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1
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Image Quality Assessment: Unifying Structure and Texture Similarity
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2020
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Keyan Ding
Kede Ma
Shiqi Wang
Eero P. Simoncelli
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1
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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
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2020
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Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Bichen Wu
Zijian He
Zhen Wei
Kan Chen
Yuandong Tian
Matthew Yu
PĂ©ter Vajda
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1
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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
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2020
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Jian Liang
Dapeng Hu
Jiashi Feng
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1
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Exploring Self-Attention for Image Recognition
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2020
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Hengshuang Zhao
Jiaya Jia
Vladlen Koltun
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1
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Self-Training With Noisy Student Improves ImageNet Classification
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2020
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Qizhe Xie
Minh-Thang Luong
Eduard Hovy
Quoc V. Le
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1
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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
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2021
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Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Fengqiu Wang
Evan Dorundo
Rahul Desai
Tyler Zhu
Samyak Parajuli
Mike Guo
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1
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A simple way to make neural networks robust against diverse image corruptions
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2020
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Evgenia Rusak
Lukas Schott
R. Zimmermann
Julian Bitterwolf
Oliver Bringmann
Matthias Bethge
Wieland Brendel
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1
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Big Transfer (BiT): General Visual Representation Learning
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2020
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Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
Joan Puigcerver
Jessica Yung
Sylvain Gelly
Neil Houlsby
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1
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Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
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2019
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Yu Sun
Xiaolong Wang
Zhuang Liu
J. J. Miller
Alexei A. Efros
Moritz Hardt
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1
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Tent: Fully Test-time Adaptation by Entropy Minimization
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2020
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Dequan Wang
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
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1
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Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
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2021
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Li Yuan
Yunpeng Chen
Tao Wang
Weihao Yu
Yujun Shi
Zihang Jiang
Francis E. H. Tay
Jiashi Feng
Shuicheng Yan
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1
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ConViT: improving vision transformers with soft convolutional inductive biases*
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2022
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StĂ©phane dâAscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
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1
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Going deeper with Image Transformers
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2021
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Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jeǔou
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1
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FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
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2020
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Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Bichen Wu
Zijian He
Zhen Wei
Kan Chen
Yuandong Tian
Matthew Yu
PĂ©ter Vajda
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1
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Training data-efficient image transformers & distillation through attention
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2021
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Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jeǔou
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1
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Fast and Accurate Model Scaling
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2021
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Piotr DollĂĄr
Mannat Singh
Ross Girshick
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1
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ImageNet-21K Pretraining for the Masses
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2021
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Tal Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi ZelnikâManor
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1
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
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1
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Visformer: The Vision-friendly Transformer
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2021
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Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
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1
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Multiscale Vision Transformers
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2021
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Haoqi Fan
Bo Xiong
Karttikeya Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
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1
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Incorporating Convolution Designs into Visual Transformers
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2021
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Kun Yuan
Shaopeng Guo
Ziwei Liu
Aojun Zhou
Fengwei Yu
Wei Wu
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1
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