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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ly, Ngoc Q., Do, Tuong K., Nguyen, Binh X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668564/
https://www.ncbi.nlm.nih.gov/pubmed/31396268
http://dx.doi.org/10.1155/2019/1483294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668564/
https://www.ncbi.nlm.nih.gov/pubmed/31396268
http://dx.doi.org/10.1155/2019/1483294

Ejemplares similares