Large scale image annotation: learning to rank with joint word-image embeddings

DOI10.1007/S10994-010-5198-3zbMath1470.68197OpenAlexW2102765684MaRDI QIDQ1959605

Samy Bengio, Nicolas Usunier, Jason Weston

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-010-5198-3

zbMATH Keywords

embeddinglarge scalelearning to rankimage annotation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Natural language processing (68T50) Machine vision and scene understanding (68T45)

Related Items (7)

Learning geometry-aware joint latent space for simultaneous multimodal shape generation ⋮ IDC Breast Cancer Detection Using Deep Learning Schemes ⋮ Structured learning of binary codes with column generation for optimizing ranking measures ⋮ A semantic matching energy function for learning with multi-relational data ⋮ Learning semantic representations of objects and their parts ⋮ Learning via variably scaled kernels ⋮ Distributional semantics of objects in visual scenes in comparison to text

Uses Software

• WordNet
• SVMstruct
• TagProp
• SIMPLIcity
• ImageNet
• Caltech-256
• PASCAL VOC

Cites Work

• A Stochastic Approximation Method
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