Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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 |
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Titel | Computer Vision – ACCV 2022 : 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I |
Forlag | Springer |
Publikationsdato | 2023 |
Sider | 2967-2983 |
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 |
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Land | Kina |
By | Macao |
Periode | 04/12/2022 → 08/12/2022 |
Navn | Lecture Notes in Computer Science |
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Vol/bind | 13841 |
ISSN | 0302-9743 |
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