Can Deep Learning be Applied to Model-Based Multi-Object Tracking?

Can Deep Learning be Applied to Model-Based Multi-Object Tracking?

16 February 2022

William Ljungbergh

Lennart Svensson

Papers citing "Can Deep Learning be Applied to Model-Based Multi-Object Tracking?"

7 / 7 papers shown

Title
LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking Martha Teiko Teye Ori Maoz Matthias Rottmann VOT 14 0 0 19 May 2025
Multi-Target Tracking with Transferable Convolutional Neural Networks Damian Owerko Charilaos I. Kanatsoulis Jennifer Bondarchuk Donald J. Bucci Alejandro Ribeiro VOT 16 3 0 27 Oct 2022
Deep Fusion of Multi-Object Densities Using Transformer Lechi Li Chen Dai Yuxuan Xia Lennart Svensson 14 3 0 19 Sep 2022
Interaction-Aware Labeled Multi-Bernoulli Filter Nida Ishtiaq A. Gostar A. Bab-Hadiashar R. Hoseinnezhad 27 10 0 19 Apr 2022
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 232 743 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 264 567 0 31 Dec 2020
Generalized optimal sub-pattern assignment metric Abu Sajana Rahmathullah Á. F. García-Fernández Lennart Svensson 16 275 0 21 Jan 2016