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Given a pose sequence, we would like to perform two types of segmentation.
Sentence segmentation - every sentence should be then translated independently.
Sign segmentation - every sign in a sentence should be transcribed to SignWriting independently.
Problem
Given a pose sequence, we would like to perform two types of segmentation.
Sentence segmentation - every sentence should be then translated independently.
Sign segmentation - every sign in a sentence should be transcribed to SignWriting independently.
Description
We currently have such a segmentation model https://github.com/sign-language-processing/transcription/tree/main/pose_to_segments
Which works reasonably well for sentences, but not at all well for signs.
Should perhaps look into developing an autoregressive model like https://arxiv.org/pdf/2301.02214.pdf
That way, we could also perform this live.
Alternatives
Use the existing model, which is bi-directional, and will require re-running on the sequence every single time.
Additional context
No response
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