The SignEval 2025 Challenge at the ICCV Multimodal Sign Language Recognition Workshop: Results and Discussion

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43976625" target="_blank" >RIV/49777513:23520/25:43976625 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/11375246" target="_blank" >https://ieeexplore.ieee.org/document/11375246</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCVW69036.2025.00529" target="_blank" >10.1109/ICCVW69036.2025.00529</a>

Result language

angličtina

Original language name

The SignEval 2025 Challenge at the ICCV Multimodal Sign Language Recognition Workshop: Results and Discussion

Original language description

This paper summarizes the results of the first multimodal sign language recognition challenge, SignEval 2025, organized at ICCV 2025. The challenge featured two tracks: (i) Continuous sign language recognition (CSLR) task based on the newly curated Isharah dataset, a Saudi Sign Language dataset, and (ii) Isolated sign language recognition (ISLR) task using the MultiMeDaLIS dataset, a multimodal Italian Sign Language corpus tailored for doctor-patient communication. Two tasks are defined within the CSLR track: Signer-Independent and Unseen-Sentences. The Signer-Independent task tests the model&apos;s ability to generalize across signers, a critical property for scalable real-world CSLR systems. The Unseen-Sentences task evaluates the model&apos;s capability to recognize novel sentence compositions by leveraging learned grammar and semantics. The ISLR track utilized MultiMeDaLIS, a multi-modal dataset. The participants of this track were challenged to classify isolated signs using only radar and RGB modalities. The challenge utilized two leaderboards to showcase methods, with participants setting new benchmarks and achieving state-of-the-art results on both tracks. More information on the challenges, tasks, leaderboard, baselines and development kits are available on https://multimodal-sign-language-recognition.github.io/ICCV-2025/.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

ISBN

979-8-3315-8988-2

ISSN

2473-9936

e-ISSN

2473-9944

Number of pages

10

Pages from-to

5086-5095

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Honolulu

Event location

Honolulu, Hawai

Event date

Oct 19, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—