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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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12
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Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
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2022
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Weijie Chen
Luojun Lin
Shicai Yang
Di Xie
Shiliang Pu
Yueting Zhuang
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5
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All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
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2019
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Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
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5
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A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
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2021
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Xianfeng Li
Weijie Chen
Di Xie
Shicai Yang
Peng Yuan
Shiliang Pu
Yueting Zhuang
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5
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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5
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Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
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2018
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Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
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5
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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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4
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A Simple Framework for Contrastive Learning of Visual Representations
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2020
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Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
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4
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Associative Domain Adaptation
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2017
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Philip Haeusser
Thomas Frerix
Alexander Mordvintsev
Daniel Cremers
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4
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Deep Hashing Network for Unsupervised Domain Adaptation
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2017
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Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
Sethuraman Panchanathan
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4
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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3
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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3
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Exploring Categorical Regularization for Domain Adaptive Object Detection
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2020
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Chang-Dong Xu
Xing-Ran Zhao
Xin Jin
Xiu-Shen Wei
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3
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Empirical Upper Bound in Object Detection and More
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2019
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Ali Borji
Seyed Mehdi Iranmanesh
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3
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Unsupervised Domain Adaptation by Backpropagation
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2014
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Yaroslav Ganin
Victor Lempitsky
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3
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Domain Adaptive Object Detection via Asymmetric Tri-Way Faster-RCNN
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2020
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Zhenwei He
Lei Zhang
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3
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Momentum Contrast for Unsupervised Visual Representation Learning
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2020
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Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
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3
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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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3
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Conditional Adversarial Domain Adaptation
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2017
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Mingsheng Long
Zhangjie Cao
Jianmin Wang
Michael I. Jordan
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3
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Deep Clustering for Unsupervised Learning of Visual Features
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2018
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Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
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3
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Progressive Domain Adaptation for Object Detection
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2020
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Han-Kai Hsu
Chun-Han Yao
Yi–Hsuan Tsai
Wei-Chih Hung
Hung-Yu Tseng
Maneesh Singh
Ming–Hsuan Yang
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3
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Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
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2020
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Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
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3
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MixMatch: A Holistic Approach to Semi-Supervised Learning
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2019
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David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
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3
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Strong-Weak Distribution Alignment for Adaptive Object Detection
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2019
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Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
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3
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Episodic Training for Domain Generalization
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2019
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Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
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3
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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3
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Unsupervised Domain Adaptation by Backpropagation
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2014
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Yaroslav Ganin
Victor Lempitsky
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3
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Learning Transferable Features with Deep Adaptation Networks
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2015
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Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
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3
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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3
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Learning to Generalize: Meta-Learning for Domain Generalization
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2018
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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3
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Coupled Generative Adversarial Networks
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2016
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Ming-Yu Liu
Oncel Tuzel
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3
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Domain Adaptive Faster R-CNN for Object Detection in the Wild
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2018
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Yuhua Chen
Li Wen
Christos Sakaridis
Dengxin Dai
Luc Van Gool
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3
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Domain-Adversarial Training of Neural Networks
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2017
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Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
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3
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A Robust Learning Approach to Domain Adaptive Object Detection
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2019
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Mehran Khodabandeh
Arash Vahdat
Mani Ranjbar
William G. Macready
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3
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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3
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Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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2016
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Baochen Sun
Kate Saenko
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3
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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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3
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Deeper, Broader and Artier Domain Generalization
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2017
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Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
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3
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Progressive Feature Alignment for Unsupervised Domain Adaptation
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2019
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Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
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2
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Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection
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2016
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Naoya Takahashi
Michael Gygli
Beat Pfister
Luc Van Gool
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2
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Joint Unsupervised Learning of Deep Representations and Image Clusters
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2016
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Jianwei Yang
Devi Parikh
Dhruv Batra
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2
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Unsupervised Image-to-Image Translation Networks
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2017
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Ming-Yu Liu
Thomas M. Breuel
Jan Kautz
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2
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Context Encoders: Feature Learning by Inpainting
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2016
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Deepak Pathak
Philipp Krähenbühl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
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2
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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2016
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Mehdi Noroozi
Paolo Favaro
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2
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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2017
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Antti Tarvainen
Harri Valpola
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2
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Domain Generalization by Solving Jigsaw Puzzles
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2019
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Fabio Maria Carlucci
Antonio D’Innocente
Silvia Bucci
Barbara Caputo
Tatiana Tommasi
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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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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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2
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Prototypical Networks for Few-shot Learning
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2017
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Jake Snell
Kevin Swersky
Richard S. Zemel
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2
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Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
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2017
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Konstantinos Bousmalis
Nathan Silberman
David Dohan
Dumitru Erhan
Dilip Krishnan
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2
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