Standard
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 › fagfællebedømt
Harvard
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
APA
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
Vancouver
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
Author
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).
Bibtex
@inproceedings{b92fcf8a0f1a4bb2863dd3e6c14a66a5,
title = "Rove-Tree-11: The Not-so-Wild Rover a Hierarchically Structured Image Dataset for Deep Metric Learning Research",
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.",
keywords = "Dataset, Hierarchical dataset, Hierarchy, Phylogenetic tree, Phylogeny, Rove, Staphylinidae, Tree",
author = "Roberta Hunt and Pedersen, {Kim Steenstrup}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th Asian Conference on Computer Vision, ACCV 2022 ; Conference date: 04-12-2022 Through 08-12-2022",
year = "2023",
doi = "10.1007/978-3-031-26348-4_25",
language = "English",
isbn = "9783031263477",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "425--441",
editor = "Lei Wang and Juergen Gall and Tat-Jun Chin and Imari Sato and Rama Chellappa",
booktitle = "Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings",
address = "Switzerland",
}
RIS
TY - GEN
T1 - Rove-Tree-11
T2 - 16th Asian Conference on Computer Vision, ACCV 2022
AU - Hunt, Roberta
AU - Pedersen, Kim Steenstrup
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Dataset
KW - Hierarchical dataset
KW - Hierarchy
KW - Phylogenetic tree
KW - Phylogeny
KW - Rove
KW - Staphylinidae
KW - Tree
U2 - 10.1007/978-3-031-26348-4_25
DO - 10.1007/978-3-031-26348-4_25
M3 - Article in proceedings
AN - SCOPUS:85151057265
SN - 9783031263477
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 425
EP - 441
BT - Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings
A2 - Wang, Lei
A2 - Gall, Juergen
A2 - Chin, Tat-Jun
A2 - Sato, Imari
A2 - Chellappa, Rama
PB - Springer
Y2 - 4 December 2022 through 8 December 2022
ER -
