Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Frasiolas, Panagiotis | |
dc.contributor.author | Reppas, Asterios | |
dc.contributor.author | Konstantoudakis, Konstantinos | |
dc.contributor.author | Zarpalos, Dimitrios | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2024-07-31T18:52:02Z | - |
dc.date.available | 2024-07-31T18:52:02Z | - |
dc.date.issued | 2024 | |
dc.identifier.citation | WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 349-358. | en |
dc.identifier.issn | 2464–4625 (online) | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.uri | http://hdl.handle.net/11025/57409 | |
dc.description.sponsorship | This research has been supported by the European Commission funded program RESCUER, under H2020 Grant Agreement 101021836. | en |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | lehká váha | cs |
dc.subject | transformátory vidění | cs |
dc.subject | relativní hloubka | cs |
dc.subject | dehazování | cs |
dc.title | Lightweight single image dehazing utilizing relative depth information | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | Considering the need for lightweight and fast implementations, this paper presents an architecture based on a Mo bileVit encoder for efficiency and speed, introducing a fully convolutional lightweight decoder with skip connec tions for feature extraction. The main purpose of this network is to address the problem of single image dehazing. Recognizing the critical role of depth information in assisting the above task, the merging of these two tasks into a single network was performed in a supervised manner. Taking into account that there is a shortage of datasets that provide both dehazing and relative depth estimation ground truths, Depth Anything was utilized to extract the relative depth values of the images, which is the SOTA network in this task | en |
dc.subject.translated | lightweight | en |
dc.subject.translated | vision transformers | en |
dc.subject.translated | relative depth | en |
dc.subject.translated | dehazing | en |
dc.identifier.doi | https://doi.org/10.24132/10.24132/CSRN.3401.38 | |
dc.type.status | Peer reviewed | en |
Vyskytuje se v kolekcích: | WSCG 2024: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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D31-2024.pdf | Plný text | 8,18 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/57409
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