85 citations · 95 across the 3 of their papers we have counts for
3 papers
Region-level Active Detector Learning
Michael Laielli, Giscard Biamby, Dian Chen +6
Active learning for object detection is conventionally achieved by applying techniques developed for classification in a way that aggregates individual detections into image-level…
Overhead Detection: Beyond 8-bits and RGB
Eliza Mace, Keith Manville, Monica Barbu-McInnis +3
This study uses the challenging and publicly available SpaceNet dataset to establish a performance baseline for a state-of-the-art object detector in satellite imagery. Specificall…
xView: Objects in Context in Overhead Imagery
Darius Lam, Richard Kuzma, Kevin McGee +5
We introduce a new large-scale dataset for the advancement of object detection techniques and overhead object detection research. This satellite imagery dataset enables research pr…