Abstract: Existing methods utilizing spatial information for sound source separation require prior knowledge of the direction of arrival (DOA) of the source or utilize estimated but imprecise ...
Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...
Abstract: Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, the common ...
Abstract: Accurately and efficiently addressing the multiple source localization (MSL) problem in urban environments, particularly designing a general method adaptable to an arbitrary number of ...
For decades, multinational companies treated localization as a surface-layer adjustment. They tweaked marketing, packaging, or pricing to suit regional tastes. But in today’s fractured world, such ...
Given the emergence of deep learning, digital pathology has gained popularity for cancer diagnosis based on his- tology images. Deep weakly supervised object localization (WSOL) models can be trained ...
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