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Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach
27 June 2024
Yuxiang Huang
Yuhao Chen
John S. Zelek
MDE
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Papers citing
"Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach"
5 / 5 papers shown
Title
Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
Yuxiang Huang
Yuhao Chen
John S. Zelek
33
1
0
02 May 2024
Polyp-DAM: Polyp segmentation via depth anything model
Zhuoran Zheng
Chen Henry Wu
Wei Wang
Yeying Jin
Xiuyi Jia
VLM
13
5
0
03 Feb 2024
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion
Subhabrata Choudhury
Laurynas Karazija
Iro Laina
Andrea Vedaldi
Christian Rupprecht
OCL
VOS
100
39
0
16 May 2022
Disentangling Architecture and Training for Optical Flow
Deqing Sun
Charles Herrmann
F. Reda
Michael Rubinstein
David Fleet
William T. Freeman
3DPC
OOD
53
33
0
21 Mar 2022
Learning to Segment Rigid Motions from Two Frames
Gengshan Yang
Deva Ramanan
100
55
0
11 Jan 2021
1