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Adversarially Trained Object Detector for Unsupervised Domain Adaptation

13 September 2021

Papers citing "Adversarially Trained Object Detector for Unsupervised Domain Adaptation"

22 / 22 papers shown

Title
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors Chaoqi Chen Zebiao Zheng Yue Huang Xinghao Ding Yizhou Yu OOD ObjD 84 61 0 25 Mar 2021
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data Xianfeng Li Weijie Chen Di Xie Shicai Yang Peng Yuan Shiliang Pu Yueting Zhuang 95 141 0 10 Dec 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Yue Liu Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia Kurt Keutzer 97 268 0 01 Sep 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 89 425 0 16 Jul 2020
Harmonizing Transferability and Discriminability for Adapting Object Detectors Chaoqi Chen Zebiao Zheng Xinghao Ding Yue Huang Qi Dou 90 275 0 13 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection Jinhong Deng Wen Li Yuhua Chen Lixin Duan 203 297 0 02 Mar 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 138 1,181 0 12 Jan 2020
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 115 5,061 0 20 Nov 2019
Progressive Domain Adaptation for Object Detection Han-Kai Hsu Chun-Han Yao Yi-Hsuan Tsai Wei-Chih Hung Hung-Yu Tseng M. Singh Ming-Hsuan Yang ObjD 98 312 0 24 Oct 2019
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection Seunghyeon Kim Jaehoon Choi Taekyung Kim Changick Kim 78 192 0 02 Sep 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 114 131 0 24 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 93 1,844 0 06 May 2019
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 108 1,782 0 30 May 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation Naoto Inoue Ryosuke Furuta T. Yamasaki Kiyoharu Aizawa ObjD 93 532 0 30 Mar 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild Yuhua Chen Wen Li Daniel Gehrig Dengxin Dai Luc Van Gool OOD ObjD 107 1,304 0 08 Mar 2018
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 101 1,107 0 25 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 181 4,372 0 20 Mar 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,644 0 06 Apr 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013