2022
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
ICLR 2022poster
Traditional computer vision models are trained to predict a fixed set of predefined categories. Recently, natural language has been shown to be a broader and richer source of supervision that provides finer descriptions to visual concepts than supervised "gold" labels. Previous works, such as CLIP,…