Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration-Reference-Cited by-同舟云学术

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration

Published:2023-01 Issue:1 Volume:33 Page:393-406
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yan Liqi¹^ORCID,Wang Qifan²^ORCID,Ma Siqi³,Wang Jingang⁴,Yu Changbin⁵

Affiliation:

1. Westlake Institute for Advanced Study, Fudan University, Shanghai, China

2. Meta AI, Menlo Park, CA, USA

3. School of Engineering, Westlake University, Hangzhou, China

4. Meituan, Beijing, China

5. College of Artificial Intelligence and Big Data for Medical Science, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China

Funder

Shandong Provincial Natural Science Fund

National Science Foundation of China Key Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10007626/09869635.pdf?arnumber=9869635

Reference97 articles.

1. PolarMask: Single Shot Instance Segmentation With Polar Representation

2. STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos

3. Combined key-frame extraction and object-based video segmentation;liu;IEEE Trans Circuits Syst Video Technol,2005

4. Guided Co-Segmentation Network for Fast Video Object Segmentation

5. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

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