Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research

Roberta Hunt; Kim Steenstrup Pedersen

doi:10.1007/978-3-031-26348-4_25

Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research

Roberta Hunt^*, Kim Steenstrup Pedersen

^*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

1 Citationer (Scopus)

13 Downloads (Pure)

Abstract

We present a new dataset of images of pinned insects from museum collections along with a ground truth phylogeny (a graph representing the relative evolutionary distance between species). The images include segmentations, and can be used for clustering and deep hierarchical metric learning. As far as we know, this is the first dataset released specifically for generating phylogenetic trees. We provide several benchmarks for deep metric learning using a selection of state-of-the-art methods.

Originalsprog	Engelsk
Titel	Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings
Redaktører	Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
Forlag	Springer
Publikationsdato	2023
Sider	425-441
ISBN (Trykt)	9783031263477
DOI	https://doi.org/10.1007/978-3-031-26348-4_25
Status	Udgivet - 2023
Begivenhed	16th Asian Conference on Computer Vision, ACCV 2022 - Macao, Kina Varighed: 4 dec. 2022 → 8 dec. 2022

Konference

Konference	16th Asian Conference on Computer Vision, ACCV 2022
Land/Område	Kina
By	Macao
Periode	04/12/2022 → 08/12/2022

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	13845 LNCS
ISSN	0302-9743

Bibliografisk note

Funding Information:
Many people have been involved in this project. First we would like to thank David Gutschenreiter, Søren Bech and André Fastrup who took the photos of the unit trays and completed the initial segmentations of the images as part of their theses. Next, we would like to thank Alexey Solodovnikov of the Natural History Museum of Denmark for providing the specimens, the ground truth phylogeny and guidance for all things entomological. Also, thanks Francois Lauze and the entire Phylorama team for their input the project.

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Adgang til dokumentet

10.1007/978-3-031-26348-4_25

Rove-Tree-11Accepteret manuskript, 7,02 MBLicens: Ikke-specificeret

Citationsformater

Hunt, R., & Pedersen, K. S. (2023). Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. I L. Wang, J. Gall, T-J. Chin, I. Sato, & R. Chellappa (red.), Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings (s. 425-441). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 13845 LNCS https://doi.org/10.1007/978-3-031-26348-4_25

Rove-Tree-11 : The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. / Hunt, Roberta ; Pedersen, Kim Steenstrup.

Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. red. / Lei Wang; Juergen Gall; Tat-Jun Chin; Imari Sato; Rama Chellappa. Springer, 2023. s. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Hunt, R & Pedersen, KS 2023, Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. i L Wang, J Gall, T-J Chin, I Sato & R Chellappa (red), Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 13845 LNCS, s. 425-441, 16th Asian Conference on Computer Vision, ACCV 2022, Macao, Kina, 04/12/2022. https://doi.org/10.1007/978-3-031-26348-4_25

Hunt R , Pedersen KS. Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. I Wang L, Gall J, Chin T-J, Sato I, Chellappa R, red., Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. Springer. 2023. s. 425-441. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS). https://doi.org/10.1007/978-3-031-26348-4_25

Hunt, Roberta ; Pedersen, Kim Steenstrup. / Rove-Tree-11 : The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research. Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings. red. / Lei Wang ; Juergen Gall ; Tat-Jun Chin ; Imari Sato ; Rama Chellappa. Springer, 2023. s. 425-441 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13845 LNCS).

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