This repository contains PyTorch code for the ECCV NEVI Workshop 2024 paper "Tracking-Assisted Object Detection with Event Cameras" [arXiv]
@inproceedings{yen2024tracking,
title={Tracking-Assisted Object Detection with Event Cameras},
author={Yen, Ting-Kang and Morawski, Igor and Dangi, Shusil and He, Kai and Lin, Chung-Yi and Yeh, Jia-Fong and Su, Hung-Ting and Hsu, Winston},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops},
year={2024}
}
Refer to INSTALL.md for installation instructions.
Follow the instructions in DATA.md to setup the datasets.
Check GETTING_STARTED.md to reproduce the results in the paper. We provide scripts for all the experiments in the experiments folder.
TEDNet is developed upon PermaTrack. Both codebases are released under MIT License.
This work was supported in part by National Science and Technology Council, Taiwan, under Grant NSTC 111-2634-F-002-022 and by Qualcomm through a Taiwan University Research Collaboration Project.