tfzhou / MATNet

Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)

Date Created 2019-11-17 (4 years ago)

Commits 43 (last one 3 years ago)

Stargazers 191 (0 this week)

Watchers 6 (0 this week)

Forks 20

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RepositoryStats indexes 564,918 repositories, of these tfzhou/MATNet is ranked #180,598 (68th percentile) for total stargazers, and #293,099 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #31,835/111,200.

tfzhou/MATNet is also tagged with popular topics, for these it's ranked: deep-learning (#3,539/8170), segmentation (#246/615)

Other Information

tfzhou/MATNet has 5 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 20 closed issues.

Homepage URL: https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation

All Topics

aaai two-stream multi-object optical-flow segmentation deep-learning davis-challenge attention-mechanism video-object-segmentation

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updated: 2024-09-18 @ 07:09pm, id: 222225575 / R_kgDODT7kpw