Sign Language Translation from Instructional Videos

Laia Tarrés, Gerard I. Gállego, Amanda Duarte, Jordi Torres, Xavier Giró-i-Nieto; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 5625-5635

Abstract

The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances the state of the art by providing the first baseline results on How2Sign, a large and broad dataset. We train a Transformer over I3D video features, using the reduced BLEU as a reference metric for validation, instead of the widely used BLEU score. We report a result of 8.03 on the BLEU score, and publish the first open-source implementation of its kind to promote further advances.

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[bibtex]
@InProceedings{Tarres_2023_CVPR, author = {Tarr\'es, Laia and G\'allego, Gerard I. and Duarte, Amanda and Torres, Jordi and Gir\'o-i-Nieto, Xavier}, title = {Sign Language Translation from Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {5625-5635} }