SCAR
The code for "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting"
This is an official implementation of the paper "SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting" (completed in September 2018, accepted by Neurocomputing in August 2019).
The original implementation of our paper is similar to this framework: GCC-SFCN. Recently, we re-implement SCAR using C^3 Framework and achieve a better performance than the original implementation. Thus, this repo provide the key code and hyperparameters in C^3 Framework.
Performance on Shanghai Tech Part B (MAE/MSE)
| Method | MAE | MSE |
|---|---|---|
| The orginal paper | 9.5 | 15.2 |
| C^3 Framework | 9.0 | 13.8 |
Citing
If you use the code, please cite the following paper:
@article{gao2019scar,
title={SCAR: Spatial-/channel-wise attention regression networks for crowd counting},
author={Gao, Junyu and Wang, Qi and Yuan, Yuan},
journal={Neurocomputing},
volume={363},
pages={1--8},
year={2019},
publisher={Elsevier}
}