Camouflaged Object Detection Evaluation Toolkit

Original work by Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao.

1. Usage Instructions for Binary Mask Evaluation

   To use this repository for evaluating a binary mask output from a model prediction against the original ground truth binary masks, follow these steps:

   • Place all the ground truth binary masks inside the GroundTruth directory.
   • Put the model's output prediction of binary masks in the Predictions directory.
   • Before running the evaluation code, update the required directory paths in the main.m file for accurate evaluation.

   Run the evaluation code for accurate assessment.

2. Evaluation Configuration

   Require: Matlab
   Just Run main.m

Citation

@inproceedings{Fan2020Camouflage,
title={Camouflaged Object Detection},
author={Fan, Deng-Ping and Ji, Ge-Peng and Sun, Guolei and Cheng, Ming-Ming and Shen, Jianbing and Shao Ling},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}