Awesome

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}
}

Results

Please find the new results (without CRF for shadow detection) at https://github.com/xw-hu/Unveiling-Deep-Shadows.

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.