Object detection in deep learning encompasses a range of approaches that identify and localise instances of semantic classes in images. Early methods relied on two-stage architectures, first ...

Deep learning has revolutionised object detection in complex, real-world imagery by enabling models to learn hierarchical feature representations directly from data. Convolutional neural networks ...

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

A new study finds that the YOLO12s deep learning model detects mitotic figures in whole-slide breast cancer images with ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...

A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental conditions, but very few have been validated or deployed in real ...