Humanity's Sixth Sense: Benchmarking Intuitive Visual Reasoning in Multimodal Models

Key points

• Humans perceive far more in a scene than what is explicitly depicted: a single glance captures past causes and future trajectories; a quick peek determines if a vehicle can fit between two parked cars; a few seconds of video reveals who holds authority in a room; and a fleeting clip highlights subtle abstract patterns like unwritten rules or hidden labels.1
• This capacity reflects a form of humanity's sixth sense: an intuitive reasoning mechanism that recovers implicit information beyond raw sensory perception.1
• Crucially, this rapid, zero-shot visual intuition underpins everyday navigation and social interaction, making it a vital capability for Multimodal Large Language Models (MLLMs) deployed alongside people.1
• We further explore agentic setup that apply dynamic visual manipulation to HSS, which narrows but does not close the gap.1

Sources (1)

• [1]Humanity's Sixth Sense: Benchmarking Intuitive Visual Reasoning in Multimodal Models
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 06:31 PM

  To bridge this gap, we introduce Humanity's Sixth Sense (HSS), a benchmark for intuitive visual reasoning.

  Humans perceive far more in a scene than what is explicitly depicted: a single glance captures past causes and future trajectories; a quick peek determines if a vehicle can fit between two parked cars; a few seconds of video reveals who holds authority in a room; and a fleeting clip highlights subtle abstract patterns like unwritten rules or hidden labels.

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