A SIAMESE NETWORK COMBINING MULTISCALE JOINT SUPERVISION AND IMPROVED CONSISTENCY REGULARIZATION FOR WEAKLY SUPERVISED BUILDING CHANGE DETECTION

A Siamese Network Combining Multiscale Joint Supervision and Improved Consistency Regularization for Weakly Supervised Building Change Detection

Building change detection (BCD) from remote sensing images is essential in various practical applications.Recently, inspired by the achievement of deep learning in semantic segmentation (SS), methods that treat the BCD problem as a binary SS task using deep siamese networks have attracted increasing attention.However, similar to their counterparts,

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Sensory exotropia due to keratoconus and review of the literature

Suleyman Ciftci,1 Ali Simsek,2 Eyup Dogan,1 Leyla Ciftci31Department of Ophthalmology, Diyarbakir Training and Research Hospital, Diyarbakir; 2Department of Ophthalmology, Faculty of Medicine, Adiyaman University, g5210t-p90 Adiyaman; 3Department of Cardiology, Faculty of Medicine, Dicle University, Diyarbakir, TurkeyAbstract: This case report desc

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