Cargando…
Asymmetric Adaptive Fusion in a Two-Stream Network for RGB-D Human Detection
In recent years, human detection in indoor scenes has been widely applied in smart buildings and smart security, but many related challenges can still be difficult to address, such as frequent occlusion, low illumination and multiple poses. This paper proposes an asymmetric adaptive fusion two-strea...
Autores principales: | Zhang, Wenli, Guo, Xiang, Wang, Jiaqi, Wang, Ning, Chen, Kaizhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866388/ https://www.ncbi.nlm.nih.gov/pubmed/33572928 http://dx.doi.org/10.3390/s21030916 |
Ejemplares similares
-
Hierarchical Multimodal Adaptive Fusion (HMAF) Network for Prediction of RGB-D Saliency
por: Lv, Ying, et al.
Publicado: (2020) -
Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
por: Zhang, Wenli, et al.
Publicado: (2021) -
Absolute Camera Pose Regression Using an RGB-D Dual-Stream Network and Handcrafted Base Poses
por: Kao, Peng-Yuan, et al.
Publicado: (2022) -
Predicting Depth from Single RGB Images with Pyramidal Three-Streamed Networks
por: Chen, Songnan, et al.
Publicado: (2019) -
A New Volumetric Fusion Strategy with Adaptive Weight Field for RGB-D Reconstruction
por: Liu, Xinqi, et al.
Publicado: (2020)