MatSim (MatSim dataset for materials similarity recognition from images)
Introduced by Drehwald et al. in One-shot recognition of any material anywhere using contrastive learning with physics-based rendering
MatSim is a synthetic dataset, and natural image benchmark for computer vision-based recognition of similarities and transitions between materials and textures, focusing on identifying any material under any conditions using one or a few examples (one-shot learning), including materials states and subclasses.
Source: One-shot recognition of any material anywhere using contrastive learning with physics-based renderingPapers
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