Adam Van Etten — accepted AI-conference papers

2021

The Multi-Temporal Urban Development SpaceNet Dataset

Adam Van Etten, Daniel Hogan, Jesus Martinez Manso, Jacob Shermeyer, Nicholas Weir, Ryan Lewis

CVPR 2021poster

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. For example, quantifying population statistics is fundamental to 67 of the 231 United Nations Sustainable Development Goals Indicators, but the World Ba…

Cited by 98 PDF ↗Scholar ↗

2019

SpaceNet MVOI: A Multi-View Overhead Imagery Dataset

Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer +2

ICCV 2019poster

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 models designed for natural scene datasets. Though…

Cited by 94 PDF ↗Scholar ↗