A team from the Faculty of Physics and the Center for Quantum Optical Technologies at the Center of New Technologies, ...
A new type of sensor that levitates dozens of glass microparticles could revolutionize the accuracy and efficiency of sensing ...
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 ...
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
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 ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...