TCU-Net: Transformer and Convolutional Neural Network-Based Advanced U-Net for Concealed Object Detection

TCU-Net: Transformer and Convolutional Neural Network-Based Advanced U-Net for Concealed Object Detection

Camouflaged object detection (COD) seeks to find concealed objects hidden in natural surroundings. COD is challenging since it has to distinguish intrinsic similarities between foreground objects and background surroundings, unlike salient object detection. Convolutional neural network (CNN)-based a...

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Bibliographic Details
Main Authors: Kyeong-Beom Park, Jae Yeol Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Advanced U-Net
camouflaged object detection
attentive Inception decoder
multi-dilated residual block
Swin Transformer
Online Access:https://ieeexplore.ieee.org/document/9955520/

Internet

https://ieeexplore.ieee.org/document/9955520/

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