Cargando…
Cross-Modal Object Detection Based on a Knowledge Update
As an important field of computer vision, object detection has been studied extensively in recent years. However, existing object detection methods merely utilize the visual information of the image and fail to mine the high-level semantic information of the object, which leads to great limitations....
Autores principales: | Gao, Yueqing, Zhou, Huachun, Chen, Lulu, Shen, Yuting, Guo, Ce, Zhang, Xinyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963053/ https://www.ncbi.nlm.nih.gov/pubmed/35214240 http://dx.doi.org/10.3390/s22041338 |
Ejemplares similares
-
Task-Decoupled Knowledge Transfer for Cross-Modality Object Detection
por: Wei, Chiheng, et al.
Publicado: (2023) -
Cascaded Cross-Modality Fusion Network for 3D Object Detection
por: Chen, Zhiyu, et al.
Publicado: (2020) -
Multi-Modality Image Fusion and Object Detection Based on Semantic Information
por: Liu, Yong, et al.
Publicado: (2023) -
Cross-Modal Object Recognition Is Viewpoint-Independent
por: Lacey, Simon, et al.
Publicado: (2007) -
Global Guided Cross-Modal Cross-Scale Network for RGB-D Salient Object Detection
por: Wang, Shuaihui, et al.
Publicado: (2023)