Papers with 3D hand normalization

1 papers
Linguistically Motivated Sign Language Segmentation (2023.findings-emnlp)

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Challenge: Sign language segmentation is a crucial task in sign language processing systems.
Approach: They propose to combine two kinds of segmentation: segmentation into individual signs and segmentation to segment into phrases, larger units comprising several signs.
Outcome: The proposed model is based on linguistic cues observed in sign language corpora and replaces the predominant IO tagging scheme with BIO taging to account for continuous signing.

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