Jun 11, 2024 · Our proposed method focuses on just the most relevant parts in a signing video: the face, hands and body posture of the signer.
Jun 11, 2024 · In this paper, we propose SignMusketeers, a data- and compute-efficient method for sign language translation at scale. It uses a multi-stream ...
This work proposes to learn the complex handshapes and rich facial expressions of sign languages in a self-supervised fashion based on learning from ...
Jun 11, 2024 · This paper presents SignMusketeers, an efficient multi-stream approach for scaling up sign language translation.
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale · no code implementations • 11 Jun 2024 • Shester Gueuwou, Xiaodan Du, ...
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale. S Gueuwou, X Du, G Shakhnarovich, K Livescu. arXiv preprint arXiv: ...
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale. no code yet • 11 Jun 2024. A persistent challenge in sign language ...
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu
We introduce SignMusketeers for Sign Language Translation at Scale. Using only 3% of compute, 41x less pretraining data, and 160x less pretraining epochs, it ...
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Our approach is based on learning from individual frames (rather than video sequences) and is therefore much more efficient than prior work on sign language pre ...