A Metric Learning Reality Check
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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A Metric Learning Reality Check. / Musgrave, Kevin; Belongie, Serge; Lim, Ser Nam.
I: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, s. 681-699.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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TY - GEN
T1 - A Metric Learning Reality Check
AU - Musgrave, Kevin
AU - Belongie, Serge
AU - Lim, Ser Nam
N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Deep metric learning papers from the past four years have consistently claimed great advances in accuracy, often more than doubling the performance of decade-old methods. In this paper, we take a closer look at the field to see if this is actually true. We find flaws in the experimental methodology of numerous metric learning papers, and show that the actual improvements over time have been marginal at best. Code is available at github.com/KevinMusgrave/powerful-benchmarker.
AB - Deep metric learning papers from the past four years have consistently claimed great advances in accuracy, often more than doubling the performance of decade-old methods. In this paper, we take a closer look at the field to see if this is actually true. We find flaws in the experimental methodology of numerous metric learning papers, and show that the actual improvements over time have been marginal at best. Code is available at github.com/KevinMusgrave/powerful-benchmarker.
KW - Deep metric learning
UR - http://www.scopus.com/inward/record.url?scp=85097421278&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-58595-2_41
DO - 10.1007/978-3-030-58595-2_41
M3 - Conference article
AN - SCOPUS:85097421278
SP - 681
EP - 699
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
T2 - 16th European Conference on Computer Vision, ECCV 2020
Y2 - 23 August 2020 through 28 August 2020
ER -
ID: 301819335