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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Andrew Zisserman
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Christian Szegedy
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Going deeper with convolutions
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2015
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Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
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Vincent Vanhoucke
Andrew Rabinovich
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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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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
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2016
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Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
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Luc Van Gool
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
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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 Dollár
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
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Kaiming He
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The “Something Something” Video Database for Learning and Evaluating Visual Common Sense
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2017
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Raghav Goyal
Samira Ebrahimi Kahou
Vincent Michalski
Joanna Materzyńska
Susanne Westphal
Heuna Kim
Valentin Haenel
Ingo Fruend
P.N. Yianilos
Moritz Mueller-Freitag
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2017
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Hongyi Zhang
Moustapha Cissé
Yann Dauphin
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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
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Unified Perceptual Parsing for Scene Understanding
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2018
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Tete Xiao
Yingcheng Liu
Bolei Zhou
Yuning Jiang
Jian Sun
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A Short Note about Kinetics-600
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2018
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João Carreira
Eric Noland
Andras Banki-Horvath
Chloe Hillier
Andrew Zisserman
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Panoptic Feature Pyramid Networks
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2019
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Alexander Kirillov
Ross Girshick
Kaiming He
Piotr Dollár
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Learning Spatio-Temporal Representation With Local and Global Diffusion
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2019
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Zhaofan Qiu
Ting Yao
Chong‐Wah Ngo
Xinmei Tian
Tao Mei
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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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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
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2017
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Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
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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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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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A Closer Look at Spatiotemporal Convolutions for Action Recognition
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2018
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Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
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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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SGDR: Stochastic Gradient Descent with Warm Restarts
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2016
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Ilya Loshchilov
Frank Hutter
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Simple Baselines for Human Pose Estimation and Tracking
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2018
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Bin Xiao
Haiping Wu
Yichen Wei
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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2017
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João Carreira
Andrew Zisserman
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Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
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2017
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Zhaofan Qiu
Ting Yao
Tao Mei
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STM: SpatioTemporal and Motion Encoding for Action Recognition
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2019
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Boyuan Jiang
Mengmeng Wang
Weihao Gan
Wei Wu
Junjie Yan
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Video Classification With Channel-Separated Convolutional Networks
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2019
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Du Tran
Heng Wang
Matt Feiszli
Lorenzo Torresani
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1
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Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
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2019
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Chenxu Luo
Alan Yuille
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1
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Cascade R-CNN: High Quality Object Detection and Instance Segmentation
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2019
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Zhaowei Cai
Nuno Vasconcelos
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TSM: Temporal Shift Module for Efficient Video Understanding
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2019
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Ji Lin
Chuang Gan
Song Han
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SlowFast Networks for Video Recognition
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2019
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Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
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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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TEINet: Towards an Efficient Architecture for Video Recognition
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2020
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Zhaoyang Liu
Donghao Luo
Yabiao Wang
Limin Wang
Ying Tai
Chengjie Wang
Jilin Li
Feiyue Huang
Tong Lü
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Deep High-Resolution Representation Learning for Visual Recognition
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2020
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Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
Yang Zhao
Dong Liu
Yadong Mu
Mingkui Tan
Xinggang Wang
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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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Designing Network Design Spaces
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2020
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Ilija Radosavovic
Raj Prateek Kosaraju
Ross Girshick
Kaiming He
Piotr Dollár
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X3D: Expanding Architectures for Efficient Video Recognition
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2020
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Christoph Feichtenhofer
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SmallBigNet: Integrating Core and Contextual Views for Video Classification
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2020
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Xianhang Li
Yali Wang
Zhipeng Zhou
Yu Qiao
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TEA: Temporal Excitation and Aggregation for Action Recognition
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2020
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Yan Li
Bin Ji
Xintian Shi
Jianguo Zhang
Bin Kang
Limin Wang
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Video Modeling With Correlation Networks
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2020
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Heng Wang
Du Tran
Lorenzo Torresani
Matt Feiszli
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Multi-modal Transformer for Video Retrieval
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2020
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Valentin Gabeur
Chen Sun
Karteek Alahari
Cordelia Schmid
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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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1
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End-to-End Object Detection with Transformers
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2020
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Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
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MotionSqueeze: Neural Motion Feature Learning for Video Understanding
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2020
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Heeseung Kwon
Manjin Kim
Suha Kwak
Minsu Cho
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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2019
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Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
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ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
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2020
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Zhouyong Liu
Shun Luo
Wubin Li
Jingben Lu
Yufan Wu
Chunguo Li
Yang Luxi
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TransPose: Towards Explainable Human Pose Estimation by Transformer
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2020
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Sen Yang
Zhibin Quan
Mu Nie
Wankou Yang
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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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Learning Spatiotemporal Features with 3D Convolutional Networks
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2015
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Du Tran
Lubomir Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
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