AFI-Net: Attention-Guided Feature Integration Network for RGBD Saliency Detection

This article proposes an innovative RGBD saliency model, that is, attention-guided feature integration network, which can extract and fuse features and perform saliency inference. Specifically, the model first extracts multimodal and level deep features. Then, a series of attention modules are deplo...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liming, Zhao, Shuguang, Sun, Rui, Chai, Xiaodong, Zheng, Shubin, Chen, Xingjie, Lv, Zhaomin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026315/
https://www.ncbi.nlm.nih.gov/pubmed/33859681
http://dx.doi.org/10.1155/2021/8861446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026315/
https://www.ncbi.nlm.nih.gov/pubmed/33859681
http://dx.doi.org/10.1155/2021/8861446

Ejemplares similares