LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation

18 July 2020

Papers citing "LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation"

5 / 5 papers shown

Title
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning Zihan Zhoua Changrui Daia Aibo Songa Xiaolin Fang VOS 88 0 0 15 Mar 2025
SelFlow: Self-Supervised Learning of Optical Flow Pengpeng Liu Michael Lyu Irwin King Jia Xu SSL 43 312 0 19 Apr 2019
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation Junhwa Hur Stefan Roth 59 272 0 10 Apr 2019
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization Tak-Wai Hui Xiaoou Tang Chen Change Loy 3DPC 43 177 0 15 Mar 2019
Devon: Deformable Volume Network for Learning Optical Flow Yao Lu Jack Valmadre Heng Wang Arno Solin Mehrtash Harandi Philip Torr 3DPC 29 30 0 20 Feb 2018