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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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2
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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2018
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Ningning Ma
Xiangyu Zhang
Hai-Tao Zheng
Jian Sun
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2
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RepVGG: Making VGG-style ConvNets Great Again
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2021
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Xiaohan Ding
Xiangyu Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian Sun
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2
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Deep High-Resolution Representation Learning for Human Pose Estimation
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2019
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Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
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2
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Learning Robust Global Representations by Penalizing Local Predictive Power
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2019
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Haohan Wang
Songwei Ge
Eric P. Xing
Zachary C. Lipton
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2
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Diverse Branch Block: Building a Convolution as an Inception-like Unit
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2021
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Xiaohan Ding
Xiangyu Zhang
Jungong Han
Guiguang Ding
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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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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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2018
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Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
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2
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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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2
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Early Convolutions Help Transformers See Better
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2021
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Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr DollĂĄr
Ross Girshick
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2
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Natural Adversarial Examples
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2021
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Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Dawn Song
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2
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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
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2019
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Xiaohan Ding
Yuchen Guo
Guiguang Ding
Jungong Han
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2
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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2017
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Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
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2
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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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2
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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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2
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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2020
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Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
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2
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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2
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Towards Robust Vision Transformer
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2022
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Xiaofeng Mao
Gege Qi
Yuefeng Chen
Xiaodan Li
Ranjie Duan
Shaokai Ye
Yuan He
Hui Xue
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2
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CvT: Introducing Convolutions to Vision Transformers
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2021
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Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
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2
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Learning Joint Reconstruction of Hands and Manipulated Objects
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2019
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Yana Hasson
GĂŒl Varol
Dimitrios Tzionas
Igor Kalevatykh
Michael J. Black
Ivan Laptev
Cordelia Schmid
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1
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FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images
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2019
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Christian Zimmermann
Duygu Ceylan
Shuicheng Yan
Bryan Russell
Max Argus
Thomas Brox
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1
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ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
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2018
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Shuxuan Guo
Jose M. Ălvarez
Mathieu Salzmann
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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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Linformer: Self-Attention with Linear Complexity
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2020
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Sinong Wang
Belinda Z. Li
Madian Khabsa
Fang Han
Hao Ma
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1
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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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1
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Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
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2020
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Dominik Kulon
Rıza Alp GĂŒler
Iasonas Kokkinos
Michael M. Bronstein
Stefanos Zafeiriou
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1
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GhostNet: More Features From Cheap Operations
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2020
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Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
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1
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MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
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2020
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Zhiqiang Shen
Marios Savvides
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1
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Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets
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2020
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Kai Han
Yunhe Wang
Qiulin Zhang
Wei Zhang
Chunjing Xu
Tong Zhang
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1
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SSD: Single Shot MultiBox Detector
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2016
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Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
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1
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I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
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2020
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Gyeongsik Moon
Kyoung Mu Lee
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1
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Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
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2020
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Hongsuk Choi
Gyeongsik Moon
Kyoung Mu Lee
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1
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Rethinking Bottleneck Structure for Efficient Mobile Network Design
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2020
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Daquan Zhou
Qibin Hou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
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1
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An Attention Free Transformer
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2021
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Shuangfei Zhai
Walter Talbott
Nitish Srivastava
Chen Huang
Hanlin Goh
Joshua M. Susskind
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1
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High-Performance Large-Scale Image Recognition Without Normalization
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2021
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Andrew Brock
Soham De
Samuel Smith
Karen Simonyan
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1
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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2021
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Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong LĂŒ
Ping Luo
Ling Shao
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1
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Conditional Positional Encodings for Vision Transformers
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2021
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Xiangxiang Chu
Zhi Tian
Bo Zhang
Xinlong Wang
Xiaolin Wei
Huaxia Xia
Chunhua Shen
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1
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EfficientNetV2: Smaller Models and Faster Training
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2021
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Mingxing Tan
Quoc V. Le
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1
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Twins: Revisiting the Design of Spatial Attention in Vision Transformers
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2021
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Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin Wei
Huaxia Xia
Chunhua Shen
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1
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Less Is More: Pay Less Attention in Vision Transformers
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2022
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Zizheng Pan
Bohan Zhuang
Haoyu He
Jing Liu
Jianfei Cai
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1
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Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
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2021
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Xingyu Chen
Yufeng Liu
Chongyang Ma
Jianlong Chang
Huayan Wang
Chen Tian
Xiaoyan Guo
Pengfei Wan
Wen Zheng
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1
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CoAtNet: Marrying Convolution and Attention for All Data Sizes
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2021
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Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
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1
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Bottleneck Transformers for Visual Recognition
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2021
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Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
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1
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End-to-End Human Pose and Mesh Reconstruction with Transformers
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2021
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Kevin Lin
Lijuan Wang
Zicheng Liu
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1
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I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling
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2021
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Ping Chen
Yujin Chen
Dong Yang
Fangyin Wu
Qin Li
Qingpei Xia
Yong Tan
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1
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Mobile-Former: Bridging MobileNet and Transformer
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2022
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Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
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1
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Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction
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2021
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Xiao Tang
Tianyu Wang
ChiâWing Fu
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1
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MicroNet: Improving Image Recognition with Extremely Low FLOPs
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2021
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Yunsheng Li
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Lei Zhang
Nuno Vasconcelos
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1
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Hand Image Understanding via Deep Multi-Task Learning
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2021
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Xiong Zhang
Hongsheng Huang
Jianchao Tan
Hongmin Xu
Cheng Yang
Guozhu Peng
Lei Wang
Ji Liu
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1
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Rethinking Spatial Dimensions of Vision Transformers
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2021
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Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
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1
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