U. Ramachandran

Class Geometry as Supervision for Sample-Efficient Open-World Detection

Class-geometry supervision (CGS) is proposed, a general framework that constrains learned prototype or class-representation spaces to preserve visual or semantic class dissimilarities estimated from training data and suggests that relational class geometry is an effective supervisory signal for building calibrated and...