Awesome
BCNet
This repo. is an official implementation of the BCNet , which has been accepted in the journal Neural computing and applications, 2023.
The main pipeline is shown as the following,
And some results are presented
Datasets
Training and testing datasets are available at
(Baidu) [code:5p36]
(Google)
Training
python train.py
Test
python test.py
We provide the trained model file (Res2Net) [code:c2jd] (ResNet) [code:9fs7]
Results
The prediction maps are also available (Res2Net) [code:ed7u] (ResNet) [code:h3yr]
Citation
Please cite the BCNet in your publications if it helps your research:
@article{CHEN2023,
title = {Boundary-guided Context-aware Network for Camouflaged Object Detection},
author = {Tianyou Chen and Jin Xiao and Xiaoguang Hu and Guofeng Zhang and Shaojie Wang},
journal = {Neural Computing and Applications},
year = {2023},
}