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How to make effective use of domain experts for image classification?
A lot of expectations have been put for years on integrating domain expert knowledge in image classification models. Several approaches have been explored, Concept Bottleneck Models (CBMs) opened up a new avenue of research leading to many variants, and more recently to Concept-based Embedding Models (CEMs). CBM consider binary encoding of each concept, while CEM expands this idea by embedding each concept through two vectors. However in real-life scenarii, domain experts' knowledge is usually organized in concepts determined by various attributes, each attribute encoded either with numerical
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-15T19:00:33.000Z
First collected: 2026-09-20T08:20:57.646Z. This is not the publication date.