AI RESEARCH
Concept-wise Attention for Fine-grained Concept Bottleneck Models
arXiv CS.CV
•
ArXi:2604.15748v1 Announce Type: new Recently impressive performance has been achieved in Concept Bottleneck Models (CBM) by utilizing the image-text alignment learned by a large pre-trained vision-language model (i.e. CLIP). However, there exist two key limitations in concept modeling. Existing methods often suffer from pre-