Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Udupa, Sumanth"'
Deep neural networks have shown exemplary performance on semantic scene understanding tasks on source domains, but due to the absence of style diversity during training, enhancing performance on unseen target domains using only single source domain d
Externí odkaz:
http://arxiv.org/abs/2311.18331
Deep learning models operating in the complex domain are used due to their rich representation capacity. However, most of these models are either restricted to the first quadrant of the complex plane or project the complex-valued data into the real d
Externí odkaz:
http://arxiv.org/abs/2212.07146
Building segmentation in high-resolution InSAR images is a challenging task that can be useful for large-scale surveillance. Although complex-valued deep learning networks perform better than their real-valued counterparts for complex-valued SAR data
Externí odkaz:
http://arxiv.org/abs/2212.07084
Object detection and classification using aerial images is a challenging task as the information regarding targets are not abundant. Synthetic Aperture Radar(SAR) images can be used for Automatic Target Recognition(ATR) systems as it can operate in a
Externí odkaz:
http://arxiv.org/abs/2212.07039