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https://hdl.handle.net/1822/89000
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Campo DC | Valor | Idioma |
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dc.contributor.author | Allahdad, Mehrab Khazraeiniay | por |
dc.contributor.author | Pinho, Rafaela de | por |
dc.contributor.author | Silva, Jorge | por |
dc.contributor.author | Silva, Vitor | por |
dc.contributor.author | Ferreira, Manuel J. | por |
dc.contributor.author | Magalhães, Luís Gonzaga Mendes | por |
dc.date.accessioned | 2024-02-23T09:16:38Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Allahdad, M. K., De Pinho, R., Silva, J., Silva, V., Ferreira, M. J., & Magalhães, L. (2023, June 20). Quality Control Using U-Net: Detecting Defects in Leather. 2023 18th Iberian Conference on Information Systems and Technologies (CISTI). IEEE. http://doi.org/10.23919/cisti58278.2023.10211983 | - |
dc.identifier.isbn | 9789893347928 | por |
dc.identifier.issn | 2166-0727 | - |
dc.identifier.uri | https://hdl.handle.net/1822/89000 | - |
dc.description.abstract | Recently, there has been a significant amount of attention towards computer vision algorithms, particularly those that focus on semantic segmentation applications. This is due to the availability of big data to train models, as well as the computational ability of these algorithms. Among the various computer vision applications, the U-Net has gained popularity due to its reliable accuracy, simplicity in construction, and ease of application.Despite the advantages of this network structure, there are still some unclear aspects within the U-Net that have not been significantly covered in literature - to the best of our knowledge -. This study seeks to clarify and explain these ambiguous points and construct different architectures to demonstrate their pros and cons. Finally, a series of experiments were carried out on natural leather samples from MVTec AD to confirm our findings. The outcomes highlight our discoveries and provide a framework for determining the fine-tuning parameters of U-Net. | por |
dc.description.sponsorship | This work was funded by Project “IntVIS4Insp – Intelligent and Flexible Computer Vision System for Automatic Inspection”, Project n.º POCI 01 0247 FEDER 042778, financed by the European Regional Development Fund (ERDF), through the COMPETE 2020 - Competitiveness and Internationalization Operational Program (POCI) and PORTUGAL 2020. | por |
dc.language.iso | eng | por |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | por |
dc.rights | restrictedAccess | por |
dc.subject | Computer vision | por |
dc.subject | MVTec | por |
dc.subject | Semantic segmentation | por |
dc.subject | U-Net | por |
dc.title | Quality control using U-Net: detecting defects in leather | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/10211983/metrics#metrics | por |
oaire.citationConferencePlace | Aveiro, Portugal | por |
oaire.citationVolume | 2023-June | por |
dc.date.updated | 2024-02-09T12:13:48Z | - |
dc.identifier.doi | 10.23919/CISTI58278.2023.10211983 | por |
dc.date.embargo | 10000-01-01 | - |
dc.identifier.eisbn | 978-989-33-4792-8 | - |
sdum.export.identifier | 13214 | - |
sdum.journal | Iberian Conference on Information Systems and Technologies, CISTI | por |
sdum.conferencePublication | 18th Iberian Conference on Information Systems and Technologies (CISTI) | por |
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Quality_Control_Using_U-Net_Detecting_Defects_in_Leather.pdf Acesso restrito! | 230,68 kB | Adobe PDF | Ver/Abrir |