TDT: Teaching Detectors to Track without Fully Annotated Videos

11 May 2022

Papers citing "TDT: Teaching Detectors to Track without Fully Annotated Videos"

5 / 5 papers shown

Title
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 168 632 0 19 Mar 2020
Towards Real-Time Multi-Object Tracking Zhongdao Wang Liang Zheng Yixuan Liu Yali Li Shengjin Wang VOT 247 854 0 27 Sep 2019
CrowdHuman: A Benchmark for Detecting Human in a Crowd Shuai Shao Zijian Zhao Boxun Li Tete Xiao Gang Yu Xiangyu Zhang Jian-jun Sun 222 675 0 30 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 225 3,463 0 21 Mar 2017