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Image denoising using deep convolutional autoencoder with feature pyramids
(TÜBİTAK, 2020)
Image denoising is 1 of the fundamental problems in the image processing field since it is the preliminary step for many computer vision applications. Various approaches have been used for image denoising throughout the ...
Üniversite dış mekânları i̇çin zaman-mekânsal haritalama yöntemine dayanan bir kullanım sonrası değerlendirme modeli
(Yildiz Technical University Faculty Of Architecture, 2020)
Üniversite yerleşkeleri yalnızca çeşitli sosyal ve eğitsel binalardan oluşmakla kalmaz, dış mekânları ve donatıları, rekreasyon ve peyzaj alanları ile bütünleşik bir kurgu oluştururlar. Dış mekânlar, yerleşke kullanıcılarının ...
Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner
(The ACM Digital Library, 2020-04-14)
Inpainting a particular missing region in an image is a challenging vision task, and promising improvements on this task have been achieved with the help of the recent developments in vision-related deep learning studies. ...
ADVISOR: An adjustable framework for test oracle automation of visual output systems
(IEEE, 2020-09)
Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ...
A benchmark for inpainting of clothing images with irregular holes
(Springer, 2020)
Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has ...
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