2021
DOI: 10.48550/arxiv.2105.01017
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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Abstract: Compositional Zero-Shot learning (CZSL) aims to recognize unseen compositions of state and object visual primitives seen during training. A problem with standard CZSL is the assumption of knowing which unseen compositions will be available at test time. In this work, we overcome this assumption operating on the open world setting, where no limit is imposed on the compositional space at test time, and the search space contains a large number of unseen compositions. To address this problem, we propose a new appr… Show more

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