Abstract: Object detection (OD) is an essential and fundamental task in computer vision (CV) and satellite image processing. Existing deep learning methods have achieved impressive performance thanks ...
Abstract: Detecting small objects in aerial images is challenging due to limited information of the object and complex backgrounds surrounding them. Most of the existing object detection methods focus ...
Raphael Gomes experiments with strange internet food hacks that claim to fix broken household objects. Culkin and Song mark nine years as Swift, Kelce cancel reception Oil prices face fresh wave of ...
OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...
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