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bart-encoder-decoder

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TinhNguyen2312 / SignBart

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SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K parameters, outperforming traditional models on datasets like LSA-64, WLASL, and ASL-Citizen.

deep-learning attention-mechanism sign-language-recognition isolated-sign-language-recognition skeleton-based-models bart-encoder-decoder skeleton-keypoints
  • Updated Jun 30, 2025
  • Python

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