DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Munchurl | ko |
dc.contributor.author | Choi, Jae Seok | ko |
dc.date.accessioned | 2017-12-05T02:32:40Z | - |
dc.date.available | 2017-12-05T02:32:40Z | - |
dc.date.created | 2017-11-30 | - |
dc.date.created | 2017-11-30 | - |
dc.date.issued | 2017-07-21 | - |
dc.identifier.citation | 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1110 - 1121 | - |
dc.identifier.issn | 2160-7516 | - |
dc.identifier.uri | http://hdl.handle.net/10203/227658 | - |
dc.description.abstract | This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had ~100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution. | - |
dc.language | English | - |
dc.publisher | IEEE Computer Society and the Computer Vision Foundation (CVF) | - |
dc.title | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results | - |
dc.type | Conference | - |
dc.identifier.wosid | 000426448300142 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 1110 | - |
dc.citation.endingpage | 1121 | - |
dc.citation.publicationname | 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Honolulu, HI, USA | - |
dc.identifier.doi | 10.1109/CVPRW.2017.149 | - |
dc.contributor.localauthor | Kim, Munchurl | - |
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