Learning of Global Objective for Network Flow in Multi-Object Tracking

30 March 2022

Papers citing "Learning of Global Objective for Network Flow in Multi-Object Tracking"

7 / 7 papers shown

Title
Self-Supervised Multi-Object Tracking with Path Consistency Zijia Lu Bing Shuai Yanbei Chen Zhenlin Xu Davide Modolo VOT 42 10 0 08 Apr 2024
S $^3$ Track: Self-supervised Tracking with Soft Assignment Flow Fatemeh Azimi Fahim Mannan Felix Heide VOT 32 0 0 17 May 2023
Unifying Short and Long-Term Tracking with Graph Hierarchies Orcun Cetintas Guillem Brasó Laura Leal-Taixé VOT 27 53 0 06 Dec 2022
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge Fan Yang S. Odashima S. Masui Shan Jiang 19 1 0 24 Nov 2022
Learning data association without data association: An EM approach to neural assignment prediction Michael G. Burke S. Ramamoorthy 11 1 0 02 May 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 173 632 0 19 Mar 2020
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 228 3,463 0 21 Mar 2017