Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation

19 August 2020

Papers citing "Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation"

8 / 8 papers shown

Title
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation Min-Hung Chen Z. Kira G. Al-Regib Jaekwon Yoo Ruxin Chen Jian Zheng TTA AI4TS 70 179 0 30 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 625 0 23 Feb 2018
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 187 2,567 0 07 Oct 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 242 6,041 0 26 Sep 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 160 6,164 0 03 Dec 2012