[TNNLS 2024] GLCONet: Learning Multisource Perception Representation for Camouflaged Object Detection
Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo
Our work has been accepted for TNNLS. The code has already been open sourced.
If you are interested in our work, please do not hesitate to contact us at Sunyg@njust.edu.cn via email.
We provide the prediction results of our GLCONet model with different backbones under camouflaged object detection tasks.
GLCONet_PVT_COD [baidu,PIN:a3dc]
GLCONet_ResNet_COD [baidu,PIN:ubg4]
GLCONet_Swin_COD [baidu,PIN:6di4]
If you use GLCONet method in your research or wish to refer to the baseline results published in the Model, please use the following BibTeX entry.
@article{GLCONet,
title={GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection},
author={Sun, Yanguang and Xuan, Hanyu and Yang, Jian and Luo, Lei},
journal={arXiv preprint arXiv:2409.09588},
year={2024}
}
@article{GLCONet,
title={GLCONet: Learning Multisource Perception Representation for Camouflaged Object Detection},
author={Sun, Yanguang and Xuan, Hanyu and Yang, Jian and Luo, Lei},
journal={IEEE Transactions on Neural Networks and Learning Systems},
volume={},
pages={1--14},
year={2024},
publisher={IEEE},
note = {},
doi={10.1109/TNNLS.2024.3461954},
}