SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

17 April 2024

Laura Leal-Taixé

Papers citing "SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow"

6 / 6 papers shown

Title
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 32 59 0 07 Mar 2023
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 99 1,327 0 13 Oct 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 218 742 0 07 Jan 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 166 632 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 211 675 0 30 Apr 2018