TANet: Transformer‐based asymmetric network for RGB‐D salient object detection

TANet: Transformer‐based asymmetric network for RGB‐D salient object detection

Abstract Existing RGB‐D salient object detection methods mainly rely on a symmetric two‐stream Convolutional Neural Network (CNN)‐based network to extract RGB and depth channel features separately. However, there are two problems with the symmetric conventional network structure: first, the ability...

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Bibliographic Details
Main Authors: Chang Liu, Gang Yang, Shuo Wang, Hangxu Wang, Yunhua Zhang, Yutao Wang
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Computer Vision
Subjects:
computer vision
image segmentation
object detection
Online Access:https://doi.org/10.1049/cvi2.12177

Internet

https://doi.org/10.1049/cvi2.12177

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