Search Results for author:
Found 3 papers, 0 papers with code
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
In the defense domain, aircraft detection on satellite imagery is a valuable tool for analysts.
Active learning for object detection in high-resolution satellite images
In machine learning, the term active learning regroups techniques that aim at selecting the most useful data to label from a large pool of unlabelled examples.
Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images
Detecting and identifying objects in satellite images is a very challenging task: objects of interest are often very small and features can be difficult to recognize even using very high resolution imagery.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
