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Isolated Sign Language Recognition for Icelandic Sign Language: Experiments in a Low-resource Setting
We present the first experiments on isolated sign language recognition (ISLR) for Icelandic Sign Language (ÍTM). We use ÍTM SignWiki, a dataset derived from a bilingual Icelandic--ÍTM online dictionary. It is genuinely low-resource: 1,845 videos cover 849 classes, 86% of which have only two examples, making the full task effectively one-shot recognition across signers. We compare two open-source ISLR frameworks, OpenHands and SPOTER, on three tasks of increasing vocabulary size (22, 117 and 849 classes), and evaluate three pose estimators and two forms of cross-lingual transfer. With ÍTM data
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T08:26:36.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.