Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...

Abstract: Multilabel learning involving hundreds of thousands or even millions of labels is referred to as extreme multilabel learning (XML), in which the labels often follow a power-law distribution ...

Multi-label recognition (MLR) with incomplete labels is very challenging. Recent works strive to explore the imageto-label correspondence in the vision-language model, i.e., CLIP, to compensate for ...