Hyperbolic visual embedding learning for zero-shot recognition

• Main Authors: LIU, Shaoteng, CHEN, Jingjing, PAN, Liangming, NGO, Chong-wah, CHUA, Tat-Seng, JIANG, Yu-Gang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6463; https://ink.library.smu.edu.sg/context/sis_research/article/7466/viewcontent/Liu_Hyperbolic_Visual_Embedding_Learning_for_Zero_Shot_Recognition_CVPR_2020_paper.pdf
• Institution: Singapore Management University

This paper proposes a Hyperbolic Visual Embedding Learning Network for zero-shot recognition. The network learns image embeddings in hyperbolic space, which is capable of preserving the hierarchical structure of semantic classes in low dimensions. Comparing with existing zeroshot learning approaches...