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Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics

; ; ; ; ; ; ;

In
Computer vision - ECCV 2024 Workshops : Milan, Italy, September 29-October 4, 2024 : proceedings, part XVI / Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi, editors, Seiten/Artikel-Nr: 318-334

Konferenz/Event:Computer Vision – ECCV 2024 Workshops , Milan , Italy , ECCV 2024 , 2024-09-29 - 2024-10-04

ImpressumCham : Springer

Umfang318-334

ISBN978-3-031-91720-2, 978-3-031-91721-9, 978-3-031-91722-6

ReiheLecture Notes in Computer Science ; 15638

Online
DOI: 10.1007/978-3-031-91721-9_20

DOI: 10.18154/RWTH-2026-02305
URL: https://publications.rwth-aachen.de/record/1029430/files/1029430.pdf

Einrichtungen

  1. Lehrstuhl für Computational Systems Biotechnology (FZ Jülich) (420410)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105007756438
WOS Core Collection: WOS:001544988400020

Interne Identnummern
RWTH-2026-02305
Datensatz-ID: 1029430

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess ; NationallizenzNationallizenz ; SCOPUS

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Faculty of Mechanical Engineering (Fac.4)
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420410

 Record created 2026-02-25, last modified 2026-02-27


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