Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting（Arxiv March 2020）
Official Implementation of Arxiv 2020 "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting" LINK
Many thanks to BL, SFANet and CAN for their useful publications and repos
For complete UCF-QNRF training code, please refer to BL.
Please see models for our M-SFANet and M-SegNet.
If you find the code useful for your research, please cite our paper:
@article{thanasutives2020encoder,
title={Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting},
author={Thanasutives, Pongpisit and Fukui, Ken-ichi and Numao, Masayuki and Kijsirikul, Boonserm},
journal={arXiv preprint arXiv:2003.05586},
year={2020}
}
Shanghaitech A&B Link
To test the visualization code you should use the pretrained M_SegNet* on UCF_QNRF Link