• The PCOD_1200 dataset can be found in this download link (Google Drive)

• Four images with different polarization angles can be found in this download link (Google Drive).

IPNet: Polarization-based Camouflaged Object Detection via dual-flow network

Authors: Xin Wang, Jiajia Ding, Zhao Zhang, Junfeng Xu and Jun Gao.

The paper was accepted by Engineering Applications of Artificial Intelligence on 12 October, 2023. The paper link is : - Link.

Polarization-based Camouflaged Object Detection with high-resolution adaptive fusion Network

Authors: Xin Wang and Junfeng Xu and Jiajia Ding.

The paper was accepted by Engineering Applications of Artificial Intelligence on 5 February, 2025. The paper link is : - Link.

Network Architecture

The network architecture of IPNet

The network architecture of HIPFNet

Results

The results of IPNet

The results of HIPFNet

Content Description

Prerequisites

• Python 3.9
• Pytorch 1.12.0
• Torchvision 0.13.0
• Numpy 1.26.4

Training/Testing

• The training and testing experiments are conducted using PyTorch with a single NVIDIA 3090ti GPU of 24 GB Memory.
• Please run

MyTest.py

Code:

• unpolar_rgb.m/untitled2.m/AOP_DOP_new.m: Stokes parameter image computation in MATLAB, with input consisting of four images

  at different polarization angles. Specific differences are detailed in the code.

• data_enhance.py: Data Augmentation, Augment the images in the dataset by horizontally and vertically flipping them.

• convert.py: Process the JSON files generated after using LabelMe for ground truth annotation for subsequent processing.

• Get_gt_from_json.py: Convert the output from the above convert.py script into a binary image (black and white).

• sal2edge:Generate object edges using Ground Truth(GT).

Citation

@article{WANG2024107303,
title = {IPNet: Polarization-based Camouflaged Object Detection via dual-flow network},
journal = {Engineering Applications of Artificial Intelligence},
volume = {127},
pages = {107303},
year = {2024},
issn = {0952-1976},
doi = {https://doi.org/10.1016/j.engappai.2023.107303},
author = {Xin Wang and Jiajia Ding and Zhao Zhang and Junfeng Xu and Jun Gao},
}

@article{WANG2025110245,
title = {Polarization-based Camouflaged Object Detection with high-resolution adaptive fusion Network},
journal = {Engineering Applications of Artificial Intelligence},
volume = {146},
pages = {110245},
year = {2025},
issn = {0952-1976},
doi = {https://doi.org/10.1016/j.engappai.2025.110245},
author = {Xin Wang and Junfeng Xu and Jiajia Ding},
}