Gloss-free Sign Language Translation

3 papers with code • 3 benchmarks • 3 datasets

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Most implemented papers

Gloss Attention for Gloss-free Sign Language Translation

yinaoxiong/gaslt CVPR 2023

We find that it can provide two aspects of information for the model, 1) it can help the model implicitly learn the location of semantic boundaries in continuous sign language videos, 2) it can help the model understand the sign language video globally.

Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining

zhoubenjia/gfslt-vlp ICCV 2023

Many previous methods employ an intermediate representation, i. e., gloss sequences, to facilitate SLT, thus transforming it into a two-stage task of sign language recognition (SLR) followed by sign language translation (SLT).

Improving Gloss-free Sign Language Translation by Reducing Representation Density

jinhuiye/signcl 23 May 2024

In this paper, we identify a representation density problem that could be a bottleneck in restricting the performance of gloss-free SLT.