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pro vyhledávání: '"Baru, Lalith Bharadwaj"'
The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially when the origin of the deepfake is obscure. To tackle the increasing co
Externí odkaz:
http://arxiv.org/abs/2409.18301
Autor:
Arora, Mehul, Jain, Chirag Shantilal, Baru, Lalith Bharadwaj, Dadi, Kamalaker, Surampudi, Bapi Raju
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by varied social cognitive challenges and repetitive behavioral patterns. Identifying reliable brain imaging-based biomarkers for ASD has been a persistent challenge due t
Externí odkaz:
http://arxiv.org/abs/2403.14484
Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge. For this, the immediate identification of stroke and risk stratification is the primary task for clinicians.
Externí odkaz:
http://arxiv.org/abs/2310.07060
Neural networks trained on standard image classification data sets are shown to be less resistant to data set bias. It is necessary to comprehend the behavior objective function that might correspond to superior performance for data with biases. Howe
Externí odkaz:
http://arxiv.org/abs/2211.07774
The impact of convolution neural networks (CNNs) in the supervised settings provided tremendous increment in performance. The representations learned from CNN's operated on hyperspherical manifold led to insightful outcomes in face recognition, face
Externí odkaz:
http://arxiv.org/abs/2109.14746