Deep pixel-level matching via attention for video co-segmentation
In video object co-segmentation, methods based on patch-level matching are widely leveraged to extract the similarity between video frames. However, these methods can easily lead to pixel misclassification because they reduce the precision of pixel localization; thus, the accuracies of the segmentat...
Saved in:
Main Authors: | LI, Junliang, WONG, Hon-Cheng, HE, Shengfeng, LO, Sio-Long, ZHANG, Guifang, WANG, Wenxiao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7852 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Video segmentation by level set.
by: WANG PEI-LIN
Published: (2014) -
Proposal-driven segmentation for videos
by: LI, Junliang, et al.
Published: (2019) -
Delving deep into pixelized face recovery and defense
by: ZHONG, Zhixuan, et al.
Published: (2022) -
CONTENT EXTRACTION BASED ON VIDEO CO-SEGMENTATION
by: GUO JIAMING
Published: (2015) -
Learning unsupervised video object segmentation through visual attention
by: WANG, Wenguan, et al.
Published: (2019)