chicheng123 / jointdet

Relational Learning for Joint Head and Human Detection

Relational Learning for Joint Head and Human Detection

(AAAI2020)

Paper in arXiv

Abstract

In this work, we present a novel joint head and human detection network, namely JointDet, which effectively detects head and human body simultaneously, aiming at handling issues that head detection is often trapped in more false positives and performance of human detector frequently drops dramatically in crowd scenes.

Methods

Getting Started

• Installation
• Prepare Dataset
• Run and Eval

Model Zoo

Method	MR(Person)	MR(Head)	Config	model Download
JointDet w/ RDM	45.7	48.3	config	Baidu Cloud (提取码: nm8r) Google Drive
JointDet w/o RDM	46.8	48.6	config	Baidu Cloud (提取码: n6zg) Google Drive

Citing JointDet

If this work is helpful for your research, please consider citing:

@inproceedings{chi2020relational,
  title={Relational learning for joint head and human detection},
  author={Chi, Cheng and Zhang, Shifeng and Xing, Junliang and Lei, Zhen and Li, Stan Z and Zou, Xudong},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={07},
  pages={10647--10654},
  year={2020}
}

Acknowledgement

Many thanks to following open source project:

• mmdetection