Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Šulc, Milan | |
| dc.contributor.author | Picek, Lukáš | |
| dc.contributor.author | Matas, Jiří | |
| dc.contributor.author | Jeppesen, Thomas | |
| dc.contributor.author | Heilmann-Clausen, Jacob | |
| dc.date.accessioned | 2021-03-15T11:00:28Z | - |
| dc.date.available | 2021-03-15T11:00:28Z | - |
| dc.date.issued | 2020 | |
| dc.identifier.citation | ŠULC, M. PICEK, L. MATAS, J. JEPPESEN, T. HEILMANN-CLAUSEN, J.Fungi Recognition: A Practical Use Case. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). Red Hook, NY: IEEE, 2020. s. 2305-2313. ISBN 978-1-72816-553-0, ISSN 2472-6737. | cs |
| dc.identifier.isbn | 978-1-72816-553-0 | |
| dc.identifier.issn | 2472-6737 | |
| dc.identifier.uri | 2-s2.0-85085504154 | |
| dc.identifier.uri | http://hdl.handle.net/11025/42937 | |
| dc.format | 9 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartofseries | 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) | en |
| dc.rights | © IEEE | en |
| dc.title | Fungi Recognition: A Practical Use Case | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | The paper presents a system for visual recognition of1394 fungi species based on deep convolutional neuralnetworks and its deployment in a citizen-science project.The system allows users to automatically identify observedspecimens, while providing valuable data to biologists andcomputer vision researchers. The underlying classifica-tion method scored first in the FGVCx Fungi ClassificationKaggle competition organized in connection with the Fine-Grained Visual Categorization (FGVC) workshop at CVPR2018. We describe our winning submission and evaluate alltechnicalities that increased the recognition scores, and dis-cuss the issues related to deployment of the system via theweb- and mobile- interfaces. | en |
| dc.subject.translated | visual recognition, fungi, web- and mobile interfaces | en |
| dc.identifier.doi | 10.1109/WACV45572.2020.9093624 | |
| dc.type.status | Peer-reviewed | en |
| dc.identifier.document-number | 578444802040 | |
| dc.identifier.obd | 43930881 | |
| dc.project.ID | LO1506/PUNTIS - Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost | cs |
| dc.project.ID | SGS-2019-027/Inteligentní metody strojového vnímání a porozumění 4 | cs |
| Vyskytuje se v kolekcích: | Postprinty / Postprints (KKY) Postprinty / Postprints (NTIS) OBD | |
Soubory připojené k záznamu:
| Soubor | Velikost | Formát | |
|---|---|---|---|
| Sulc_Fungi_Recognition_A_Practical_Use_Case_WACV_2020_paper.pdf | 1,75 MB | Adobe PDF | Zobrazit/otevřít |
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