VIABench Evaluates Visual Assistance Capabilities
NJU · hf · 2026-07-17
The research team introduces VIABench, a comprehensive video benchmark designed for visual assistance scenarios, featuring first-person perspective videos recorded or shared by visually impaired individuals. It specifically evaluates the capabilities of multimodal large models in real-world assistive tasks, covering three core categories:
- Proactive Alerting: Identifying continuous content in videos and providing advance warnings for upcoming navigation critical events.
- Visual Question Answering: Answering user questions about the environment or objects.
- Guided Interaction: Completing intentional interactions between the user and the environment based on context.
The authors also designed a rigorous evaluation pipeline supporting both online and offline modes. Experimental results show that current multimodal large models still exhibit significant shortcomings in real-world visual assistance, particularly in proactive alerting tasks requiring anticipation and real-time responses. Code and data will be open-sourced.
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