COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking

4 October 2023

Papers citing "COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking"

8 / 8 papers shown

Title
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking Mattia Segu Luigi Piccinelli Siyuan Li Yung-Hsu Yang Bernt Schiele Luc Van Gool Mamba 37 2 0 02 Oct 2024
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs Mattia Segu Luigi Piccinelli Siyuan Li Luc Van Gool Fisher Yu Bernt Schiele VOT 29 2 0 25 Sep 2024
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking Siyuan Li Lei Ke Yung-Hsu Yang Luigi Piccinelli Mattia Segu Martin Danelljan Luc Van Gool VLM 27 4 0 17 Sep 2024
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking Mattia Segu Bernt Schiele Fisher Yu TTA 22 13 0 03 Oct 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
Contrast R-CNN for Continual Learning in Object Detection Kai Zheng Cen Chen CLL ObjD 17 1 0 11 Jul 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
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 223 3,462 0 21 Mar 2017