Part-Based Attribute-Aware Network for Person Re-Identification
Despite the rapid progress over the past decade, person re-identification (reID) remains a challenging task due to the fact that discriminative features underlying different granularities are easily affected by illumination and camera-view variation. Most deep learning-based algorithms for reID extr...
Guardado en:
Autores principales: | Yan Zhang, Xusheng Gu, Jun Tang, Ke Cheng, Shoubiao Tan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fdb14800318c4dadb21c26d14b9fbd85 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Cross-Domain Person Re-Identification Based on Feature Fusion
por: Xianjun Luo, et al.
Publicado: (2021) -
Re-Identification in Urban Scenarios: A Review of Tools and Methods
por: Hugo S. Oliveira, et al.
Publicado: (2021) -
TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data
por: Shoaib Ahmed Siddiqui, et al.
Publicado: (2021) -
Brain Strategy Algorithm for Multiple Object Tracking Based on Merging Semantic Attributes and Appearance Features
por: Mai S. Diab, et al.
Publicado: (2021) -
Domain Specific Entity Recognition With Semantic-Based Deep Learning Approach
por: Quoc Hung Ngo, et al.
Publicado: (2021)