The ECCV 2022 Sign Spotting Challenge focused on the problem of fine-grain sign spotting for continuous sign language recognition. We have released and made publicly available a new dataset of Spanish sign language of around 10 h of video data in the health domain performed by 7 deaf people and 3 interpreters. The added value of this dataset over existing ones is the frame-level precise annotation of 100 signs with their corresponding glosses and variants made by sign language experts. This paper summarizes the design and results of the challenge, which attracted 79 participants, contextualizing the problem and defining the dataset, protocols and baseline models, as well as discussing top-winning solutions and future directions on the topic.
|Titel||Computer Vision – ECCV 2022 Workshops, Proceedings|
|Redaktører||Leonid Karlinsky, Tomer Michaeli, Ko Nishino|
|Forlag||Springer Science+Business Media|
|Status||Udgivet - 2023|
|Begivenhed||17th European Conference on Computer Vision, ECCV 2022 - Tel Aviv, Israel|
Varighed: 23 okt. 2022 → 27 okt. 2022
|Konference||17th European Conference on Computer Vision, ECCV 2022|
|Periode||23/10/2022 → 27/10/2022|
|Navn||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
Bibliografisk notePublisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.