4 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher
Atif Belal, Akhil Meethal, Francisco Perdigon Romero +2
Adapting visual object detectors to operational target domains is a challenging task, commonly achieved using unsupervised domain adaptation (UDA) methods. Recent studies have show…
Density Crop-guided Semi-supervised Object Detection in Aerial Images
Akhil Meethal, Eric Granger, Marco Pedersoli
One of the important bottlenecks in training modern object detectors is the need for labeled images where bounding box annotations have to be produced for each object present in th…
Cascaded Zoom-in Detector for High Resolution Aerial Images
Akhil Meethal, Eric Granger, Marco Pedersoli
Detecting objects in aerial images is challenging because they are typically composed of crowded small objects distributed non-uniformly over high-resolution images. Density croppi…