This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
Abstract: Ultrasonic radar represents a promising technology, offering reduced cost while combining efficiency and versatility. This project details the design and implementation of a radar system ...
Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...
AUSTIN, Texas — Driving through Austin may soon get a little easier. On Thursday, the Austin City Council could greenlight a nearly $11 million plan to improve vehicle detection at traffic signals, ...
Editor's note: Este artículo está traducido al español. The devastating wildfires in the Los Angeles area earlier this year inspired a trio of UNLV engineering students to design a device to detect ...
Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality ...
Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...
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