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Boundary Flow: A Siamese Network that Predicts Boundary Motion without
  Training on Motion
v1v2v3 (latest)

Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion

28 February 2017
Peng Lei
Fuxin Li
S. Todorovic
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion"

5 / 5 papers shown
Title
An edge detection-based deep learning approach for tear meniscus height
  measurement
An edge detection-based deep learning approach for tear meniscus height measurement
Kesheng Wang
Kunhui Xu
Xiaoyu Chen
Chunlei He
Jianfeng Zhang
Dexing Kong
Qi Dai
Shoujun Huang
25
0
0
23 Mar 2024
Unsupervised Flow Refinement near Motion Boundaries
Unsupervised Flow Refinement near Motion Boundaries
Shuzhi Yu
Hannah Kim
Shuai Yuan
Carlo Tomasi
40
5
0
03 Aug 2022
StableNet: Semi-Online, Multi-Scale Deep Video Stabilization
StableNet: Semi-Online, Multi-Scale Deep Video Stabilization
Chia-Hung Huang
Hang Yin
Yu-Wing Tai
Chi-Keung Tang
3DV
23
13
0
24 Jul 2019
Object Contour and Edge Detection with RefineContourNet
Object Contour and Edge Detection with RefineContourNet
A. Kelm
V. S. Rao
U. Zölzer
ObjD
57
40
0
30 Apr 2019
Leveraging Shape Completion for 3D Siamese Tracking
Leveraging Shape Completion for 3D Siamese Tracking
Silvio Giancola
Jesus Zarzar
Guohao Li
3DPC
83
156
0
05 Mar 2019
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