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GitHub / Vujas-Eteph / READMem

[BMVC 2023] READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vujas-Eteph%2FREADMem
PURL: pkg:github/Vujas-Eteph/READMem

Stars: 6
Forks: 0
Open issues: 0

License: gpl-3.0
Language: Python
Size: 2.87 MB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago

Commit Stats

Commits: 53
Authors: 2
Mean commits per author: 26.5
Development Distribution Score: 0.226
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Vujas-Eteph/READMem

Topics: bmvc, bmvc2023, computer-vision, conference-paper, object-segmentation, segmentation, tracking, video-object-segmentation, visual-object-tracking

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