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pro vyhledávání: '"Bastidas, Alexei"'
Autor:
Shermeyer, Jacob, Hogan, Daniel, Brown, Jason, Van Etten, Adam, Weir, Nicholas, Pacifici, Fabio, Haensch, Ronny, Bastidas, Alexei, Soenen, Scott, Bacastow, Todd, Lewis, Ryan
Within the remote sensing domain, a diverse set of acquisition modalities exist, each with their own unique strengths and weaknesses. Yet, most of the current literature and open datasets only deal with electro-optical (optical) data for different de
Externí odkaz:
http://arxiv.org/abs/2004.06500
Autor:
Weir, Nicholas, Lindenbaum, David, Bastidas, Alexei, Van Etten, Adam, McPherson, Sean, Shermeyer, Jacob, Kumar, Varun, Tang, Hanlin
Detection and segmentation of objects in overheard imagery is a challenging task. The variable density, random orientation, small size, and instance-to-instance heterogeneity of objects in overhead imagery calls for approaches distinct from existing
Externí odkaz:
http://arxiv.org/abs/1903.12239
Generating realistic images from scene graphs asks neural networks to be able to reason about object relationships and compositionality. As a relatively new task, how to properly ensure the generated images comply with scene graphs or how to measure
Externí odkaz:
http://arxiv.org/abs/1901.03762
Online harassment has been a problem to a greater or lesser extent since the early days of the internet. Previous work has applied anti-spam techniques like machine-learning based text classification (Reynolds, 2011) to detecting harassing messages.
Externí odkaz:
http://arxiv.org/abs/1609.02809
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