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GitHub / MSA-LMC / S2D

[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MSA-LMC%2FS2D

Stars: 53
Forks: 1
Open issues: 2

License: apache-2.0
Language: Python
Size: 8.16 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago

Topics: adapater, dynamic-facial-expression-recognition, facial-expression-recognition, image-to-video, transfer-learning

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