Focus-and-Detect

Our study titled "Focus-and-Detect: A small object detection framework for aerial images” has been published in 'Signal Processing: Image Communication' journal

Onur Can Koyun is the leading author of a recent paper on small object detection titled as “Focus-and-Detect: A small object detection framework for aerial images” which has been published in 'Signal Processing: Image Communication' journal.

In this study, we propose a two-stage object detection framework called “Focus-and-Detect”. The first stage which consists of an object detector network supervised by a Gaussian Mixture Model, generates clusters of objects constituting the focused regions. The second stage, which is also an object detector network, predicts objects within the focal regions. Incomplete Box Suppression (IBS) method is also proposed to overcome the truncation effect of region search approach.

This research is supported in part by ASELSAN Inc., Turkey with grant number 65834 STB and in part by the Scientific and Technical Research Council of Turkey, TÜBİTAK, with grant number 121E378.