新数据集和模型推动手语识别和翻译发展

报道来源 [4]

1. arXiv cs.AI TIER_1 English(EN) · Ramesh Nandipalli · 2026-06-21 13:33

   基于深度学习的视频手语识别及跨语言翻译至印度本土语言

   Sign language is a primary mode of communication for the global deaf and hard-of-hearing community, yet automated tools that recognize sign gestures from video and translate them into natural language text remain limited, particularly for low-resource Indian languages. We present…

2. arXiv cs.CV TIER_1 English(EN) · Jianhe Low, Alexandre Symeonidis-Herzig, Maksym Ivashechkin, Ozge Mercanoglu Sincan, Richard Bowden · 2026-06-26 04:00

   SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learning

   arXiv:2603.10446v4 Announce Type: replace Abstract: Sign Language Production (SLP) faces a fundamental trade-off: direct text-to-pose models suffer from regression-to-the-mean effects, while dictionary-retrieval methods produce disjointed transitions. To resolve this, we propose …

3. arXiv cs.CV TIER_1 English(EN) · Zhewen He, Junyi Hu, Haomian Huang, Zhenhua Li, Yu-Shen Liu, Yi Fang · 2026-06-24 04:00

   SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks

   arXiv:2606.24361v1 Announce Type: new Abstract: Sign language models are typically trained on datasets captured under constrained conditions, with limited viewpoint, background, and signer-identity diversity, leading to poor robustness under real-world distribution shifts. We int…

4. arXiv cs.CV TIER_1 English(EN) · Yi Fang · 2026-06-23 09:51

   SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks

   Sign language models are typically trained on datasets captured under constrained conditions, with limited viewpoint, background, and signer-identity diversity, leading to poor robustness under real-world distribution shifts. We introduce SignNet-1M, a large-scale augmented datas…