MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
–Neural Information Processing Systems
Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specific to Australia, still lacks a dedicated large-scale word-level dataset for the ISLR task.
Neural Information Processing Systems
Feb-16-2026, 04:30:46 GMT
- Country:
- Asia
- China
- Guangdong Province > Shenzhen (0.04)
- Guangxi Province > Nanning (0.04)
- Japan > Kyūshū & Okinawa
- Kyūshū > Miyazaki Prefecture > Miyazaki (0.04)
- Middle East > Israel (0.04)
- South Korea > Seoul
- Seoul (0.04)
- China
- Europe
- Austria > Vienna (0.14)
- France
- Provence-Alpes-Côte d'Azur > Bouches-du-Rhône
- Marseille (0.04)
- Île-de-France > Paris
- Paris (0.04)
- Provence-Alpes-Côte d'Azur > Bouches-du-Rhône
- Germany > Bavaria
- Upper Bavaria > Munich (0.04)
- Ireland > Leinster
- County Dublin > Dublin (0.04)
- Italy (0.04)
- United Kingdom > Wales
- Cardiff (0.04)
- North America
- Canada > British Columbia
- Vancouver (0.04)
- United States
- Alaska > Anchorage Municipality
- Anchorage (0.04)
- Florida > Orange County
- Orlando (0.04)
- Hawaii > Honolulu County
- Honolulu (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Ohio > Franklin County
- Columbus (0.04)
- Rhode Island > Providence County
- Providence (0.04)
- Utah > Salt Lake County
- Salt Lake City (0.04)
- Washington > King County
- Seattle (0.04)
- Alaska > Anchorage Municipality
- Canada > British Columbia
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Queensland (0.04)
- South America > Chile
- Asia
- Genre:
- Research Report (0.93)
- Industry:
- Education > Curriculum
- Subject-Specific Education (0.99)
- Health & Medicine (0.93)
- Education > Curriculum
- Technology: