About

Given a video containing sign language, the task is to predict the translation into (written) spoken language.

Benchmarks

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Datasets

Greatest papers with code

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

24 Oct 2019dxli94/WLASL

Based on this new large-scale dataset, we are able to experiment with several deep learning methods for word-level sign recognition and evaluate their performances in large scale scenarios.

ACTION CLASSIFICATION HAND GESTURE RECOGNITION SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION

Neural Sign Language Translation

CVPR 2018 neccam/nslt

SLR seeks to recognize a sequence of continuous signs but neglects the underlying rich grammatical and linguistic structures of sign language that differ from spoken language.

4 GESTURE RECOGNITION LANGUAGE MODELLING MACHINE TRANSLATION SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION TOKENIZATION

Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation

CVPR 2020 neccam/slt

We report state-of-the-art sign language recognition and translation results achieved by our Sign Language Transformers.

4 SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION TOKENIZATION

Better Sign Language Translation with STMC-Transformer

arXiv preprint 2020 kayoyin/transformer-slt

This contradicts previous claims that GT gloss translation acts as an upper bound for SLT performance and reveals that glosses are an inefficient representation of sign language.

SIGN LANGUAGE RECOGNITION SIGN LANGUAGE TRANSLATION