Cargando…
RGB-D salient object detection: A survey
Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various computer vision tasks. Now, the advent of depth sensors means that depth maps can easily be captured; this additional spatial information can bo...
Autores principales: | Zhou, Tao, Fan, Deng-Ping, Cheng, Ming-Ming, Shen, Jianbing, Shao, Ling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tsinghua University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788385/ https://www.ncbi.nlm.nih.gov/pubmed/33432275 http://dx.doi.org/10.1007/s41095-020-0199-z |
Ejemplares similares
-
Dynamic Knowledge Distillation with Noise Elimination for RGB-D Salient Object Detection
por: Ren, Guangyu, et al.
Publicado: (2022) -
Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection
por: Kong, Yuqiu, et al.
Publicado: (2023) -
Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection
por: Wang, Shuaihui, et al.
Publicado: (2023) -
Global Guided Cross-Modal Cross-Scale Network for RGB-D Salient Object Detection
por: Wang, Shuaihui, et al.
Publicado: (2023) -
RGB-D salient object detection via convolutional capsule network based on feature extraction and integration
por: Xu, Kun, et al.
Publicado: (2023)