Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alexei Bastidas"'
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Convolutional neural network (CNN) models obtain state of the art performance on image classification, localization, and segmentation tasks. Limitations in computer hardware, most notably memory size in deep learning accelerator cards, prevent relati
Externí odkaz:
https://doaj.org/article/691c87d5ea044890970c2ce4b9bce4d6
Autor:
Fabio Pacifici, Nicholas R. Weir, Jason Brown, Scott Soenen, Adam Van Etten, Ronny Hänsch, Todd M. Bacastow, Daniel Hogan, Alexei Bastidas, Ryan Lewis, Jacob Shermeyer
Publikováno v:
CVPR Workshops
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516305b355b9f55dde50da85e3008524
Autor:
Varun Kumar, Jacob Shermeyer, Alexei Bastidas, Adam Van Etten, Sean McPherson, David Lindenbaum, Hanlin Tang, Nicholas R. Weir
Publikováno v:
ICCV
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
Autor:
Alexei Bastidas, Hanlin Tang
Publikováno v:
CVPR Workshops
Multi-band images beyond RGB are becoming popular in both commercial applications and research datasets, yet existing deep learning models were designed for academic RGB datasets. In this talk, we propose Channel Attention Networks (CAN), a deep lear