Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...
Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
Infrared sensors that detect the short-wave infrared (SWIR) region can clearly recognize objects not only during the day and ...
"Man overboard!" is one of the most frightening things you can hear aboard ship and the outcome is often tragic. Now, ...
Abstract: Salient Object Detection (SOD) aims to identify the most attention-grabbing regions in an image and focuses on distinguishing salient objects from their backgrounds. Current SOD methods ...
Black hole discovery reshaped astrophysics by proving that some of the universe's most powerful objects cannot be seen directly but can be measured through their effects on space and time. Signals ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
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