FSDNet

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

by Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, and Pheng-Ann Heng.

Fast Shadow Detection Network

This implementation is written by Xiaowei Hu at the Chinese University of Hong Kong.

Citation

@article{hu2021revisiting,
     title={Revisiting Shadow Detection: A New Benchmark Dataset for Complex World},
     author={Hu, Xiaowei and Wang, Tianyu and Fu, Chi-Wing and Jiang, Yitong and Wang, Qiong and Heng, Pheng-Ann},
     journal={IEEE Transactions on Image Processing},
     volume={30},
     pages={1925--1934},
     year={2021},
     publisher={IEEE}
     }

Requirements

• PyTorch1.3.0
• Python3.6
• Cupy [Installation Guide]

Train and Test

1. Clone this repository:

   git clone https://github.com/xw-hu/FSDNet.git
   

2. Train:

   python3 train.py    
   

3. Test:

   python3 infer.py
   

CUHK-Shadow Dataset

Please find the dataset at https://github.com/xw-hu/CUHK-Shadow#cuhk-shadow-dateset.

Evaluation Function

Please find the evaluation function at https://github.com/xw-hu/CUHK-Shadow#cuhk-shadow-evaluation.