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Deep embedding of concept ontology for hierarchical fashion recognition

  • Published:2021-02 Issue: Volume:425 Page:191-206
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Kuang Zhenzhong,Zhang Xin,Yu Jun,Li Zongmin,Fan Jianping

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference53 articles.

1. Describing clothing by semantic attributes;Chen,2012

2. Style finder: fine-grained clothing style detection and retrieval;Di,2013

3. Neuroaesthetics in fashion: modeling the perception of fashionability;Simo-Serra,2015

4. Cross-domain image retrieval with a dual attribute-aware ranking network;Huang,2012

5. Clothes co-parsing via joint image segmentation and labeling with application to clothing retrieval;Liang;IEEE Trans. Multimedia,2016

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2. AI in fashion: a literature review;Electronic Commerce Research;2024-06-19

3. M2GAN: Mimicry fashion generation combined with the two-step mullerian evolutionary hypothesis;Applied Soft Computing;2024-03

4. Alternative Method of Constructing Granular Neural Networks;Computers, Materials & Continua;2024

5. Objective-Driven Modular and Hybrid Approach Combining Machine Learning and Ontology;2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter);2023-12-11
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