Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning

arXiv:2402.17251v1 Announce Type: new
Abstract: Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object pairs based on a limited set of observed examples. Current CZSL methodologies, despite their advancements, tend to neglect the distinct specificity levels present in attributes. For instance, given images of sliced strawberries, they may fail to prioritize `Sliced-Strawberry' over a generic `Red-Strawberry', despite the former being more informative. They also suffer from ballooning search space when shifting from Close-World (CW) to Open-World (OW) CZSL. To address …

abstract arxiv context cs.cv current diversity examples images instance set specificity type zero-shot