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pro vyhledávání: '"Sercan Sünetci"'
Autor:
Hasan Fehmi Ateş, Sercan Sünetci
Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local contextual information. Se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65747b769314707a9f1de6ec9ac6f939
http://arxiv.org/abs/1812.05850
http://arxiv.org/abs/1812.05850
Autor:
Sercan Sünetci, Hasan Fehmi Ateş
Publikováno v:
SIU
Deep convolutional neural networks (CNN) have shown significant success in many classification problems including semantic image segmentation. However training of deep networks is time consuming and requires large training datasets. A network trained
Autor:
Hasan Fehmi Ateş, Sercan Sünetci
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783319646978
CAIP (2)
CAIP (2)
Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local contextual information. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd7236c31bfcba81162846e7fc6a9eaf
https://aperta.ulakbim.gov.tr/record/52185
https://aperta.ulakbim.gov.tr/record/52185
Autor:
Hasan Fehmi Ateş, Sercan Sünetci
Publikováno v:
SIU
25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY WOS: 000413813100213 Superpixel based methods have recently shown success in scene segmentation and labeling. In scene labeling, a superpixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::101bc615328d8dbf7d2d9cd6b714a5c6
https://hdl.handle.net/11729/1720
https://hdl.handle.net/11729/1720
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319415000
ICIAR
ICIAR
In superpixel-based image parsing, the image is first segmented into visually consistent small regions, i.e. superpixels; then superpixels are parsed into different categories. SuperParsing algorithm provides an elegant nonparametric solution to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::781e939588f8123f242189784a955395
https://doi.org/10.1007/978-3-319-41501-7_27
https://doi.org/10.1007/978-3-319-41501-7_27