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Found 7 papers, 3 papers with code
Self-Supervised Video Transformers for Isolated Sign Language Recognition
This paper presents an in-depth analysis of various self-supervision methods for isolated sign language recognition (ISLR).
Open-Domain Sign Language Translation Learned from Online Video
Existing work on sign language translation - that is, translation from sign language videos into sentences in a written language - has focused mainly on (1) data collected in a controlled environment or (2) data in a specific domain, which limits the applicability to real-world settings.
Searching for fingerspelled content in American Sign Language
This is an important task since significant content in sign language is often conveyed via fingerspelling, and to our knowledge the task has not been studied before.
Fingerspelling Detection in American Sign Language
We propose a benchmark and a suite of evaluation metrics, some of which reflect the effect of detection on the downstream fingerspelling recognition task.
Fingerspelling recognition in the wild with iterative visual attention
In this paper we focus on recognition of fingerspelling sequences in American Sign Language (ASL) videos collected in the wild, mainly from YouTube and Deaf social media.
American Sign Language fingerspelling recognition in the wild
As the first attempt at fingerspelling recognition in the wild, this work is intended to serve as a baseline for future work on sign language recognition in realistic conditions.
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation
Recognizing fingerspelling is challenging for a number of reasons: It involves quick, small motions that are often highly coarticulated; it exhibits significant variation between signers; and there has been a dearth of continuous fingerspelling data collected.
