SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale (2025.findings-acl)
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| Challenge: | Existing work on sign language video processing focuses on the face, hands and body posture of the signer. |
| Approach: | They propose to learn the handshapes and rich facial expressions of sign languages in a self-supervised fashion by learning from individual frames rather than video sequences. |
| Outcome: | The proposed model is more efficient than previous work on sign language pre-training. |
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