DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...
This repository provides an edge-based method for detecting interfaces of an aqueous sample in a vial. It was initially developed for the autoHSP workflow to automate the result analysis through image ...
Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...
ABSTRACT: Road surface defects such as potholes and cracks pose significant risks to traffic safety and vehicle integrity. Traditional inspection methods, including manual surveys and citizen reports, ...
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