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Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for
  Video Correspondence Learning

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning

12 May 2021
Yansong Tang
Zhenyu Jiang
Zhenda Xie
Yue Cao
Zheng-Wei Zhang
Philip H. S. Torr
Han Hu
ArXivPDFHTML

Papers citing "Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning"

4 / 4 papers shown
Title
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,761
0
29 Apr 2021
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
204
307
0
19 Oct 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
J. C. V. Gemert
195
232
0
16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
197
344
0
22 Jan 2020
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