AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes

15 August 2023

Papers citing "AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes"

9 / 9 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
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,518 0 27 Feb 2021
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 216 732 0 07 Jan 2021
TransTrack: Multiple Object Tracking with Transformer Pei Sun Jinkun Cao Yi-Xin Jiang Rufeng Zhang Enze Xie Zehuan Yuan Changhu Wang Ping Luo ViT VOT 241 555 0 31 Dec 2020
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 163 629 0 19 Mar 2020
Towards Real-Time Multi-Object Tracking Zhongdao Wang Liang Zheng Yixuan Liu Yali Li Shengjin Wang VOT 244 844 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 211 670 0 30 Apr 2018
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 223 3,407 0 21 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,083 0 01 Sep 2014