Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments

27 January 2023

Papers citing "Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments"

4 / 4 papers shown

Title
ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang Pei Sun Yi-Xin Jiang Dongdong Yu Fucheng Weng Zehuan Yuan Ping Luo Wenyu Liu Xinggang Wang VOT 96 1,289 0 13 Oct 2021
A Survey of Modern Deep Learning based Object Detection Models Syed Sahil Abbas Zaidi M. S. Ansari Asra Aslam N. Kanwal M. Asghar Brian Lee VLM ObjD 59 724 0 24 Apr 2021
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 163 620 0 19 Mar 2020
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 223 3,407 0 21 Mar 2017