Presentation
How I Perceive It: Human Memory-Augmented Analogical Reasoning for Machine Visual Interpretation
SessionMachine Memories
DescriptionHow I Perceive It augments machine visual interpretation with human memory, shifting from superficial seeing to deep perceiving. Although today’s vision language models (VLMs) can generate image captions with a degree of subjectivity, they still struggle to explain the underlying reasons or experiential basis for such subjectivity. Machines can see, but they do not perceive as humans do, who link perception with prior experience and memory. To bridge this gap, this paper introduces a visual interpretation system that integrates individual memory into machine perception, founded on structure-mapping theory. By merging what the machine sees with what the individual remembers, the system produces individualized interpretations that uncover more insightful meanings among visual elements that are not immediately visible on the surface.
Event Type
Art Papers
TimeTuesday, 16 December 202511:12am - 11:24am HKT
LocationMeeting Room S222, Level 2
