Zero-shot visual recognition via bidirectional latent embedding

DOI10.1007/S11263-017-1027-5zbMath1458.68256arXiv1607.02104OpenAlexW2463762378MaRDI QIDQ2193884

Qian Wang, Ke Chen

Publication date: 21 August 2020

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1607.02104

zbMATH Keywords

object recognitionzero-shot learninghuman action recognitionlandmark-based Sammon mappingmultiple visual and semantic representationssupervised locality-preserving projection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (3)

Zero-shot learning via the fusion of generation and embedding for image recognition ⋮ Information bottleneck and selective noise supervision for zero-shot learning ⋮ Transferrable feature and projection learning with class hierarchy for zero-shot learning

Uses Software

• word2vec
• MatConvNet
• Caltech-256
• Caltech-UCSD Birds
• UCF101

Cites Work

• Gabor feature-based face recognition using supervised locality preserving projection
• Principal component analysis.
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
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