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.
Original language | English |
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Title of host publication | Computer Vision – ACCV 2022 - 16th Asian Conference on Computer Vision, Proceedings |
Editors | Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa |
Publisher | Springer |
Publication date | 2023 |
Pages | 425-441 |
ISBN (Print) | 9783031263477 |
DOIs | |
Publication status | Published - 2023 |
Event | 16th Asian Conference on Computer Vision, ACCV 2022 - Macao, China Duration: 4 Dec 2022 → 8 Dec 2022 |
Conference
Conference | 16th Asian Conference on Computer Vision, ACCV 2022 |
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Country/Territory | China |
City | Macao |
Period | 04/12/2022 → 08/12/2022 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13845 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Dataset
- Hierarchical dataset
- Hierarchy
- Phylogenetic tree
- Phylogeny
- Rove
- Staphylinidae
- Tree