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Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning
Object retrieval plays an increasingly important role in video surveillance, digital marketing, e-commerce, etc. It is facing challenges such as large-scale datasets, imbalanced data, viewpoint, cluster background, and fine-grained details (attributes). This paper has proposed a model to integrate o...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6668564/ https://ncbi.nlm.nih.gov/pubmed/31396268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/1483294 |
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