Tag: object detection

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects ...

A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while ...

A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...

A Turkish research team trained a YOLOv11x deep learning model on more than 1,500 CBCT scans to automatically classify midpalatal ...

A systematic study shows that carefully engineered synthetic orchard imagery, refined to match real annotation geometry and mixed with a ...

Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...

Researchers at IIITDM Kancheepuram have developed DECA-YOLO, a lightweight dual-pooling channel attention enhancement to YOLOv7 that improves real-time pedestrian detection ...

A systematic review of 131 studies finds that deep learning cameras can monitor pig welfare and behavior with over 95 ...

A YOLOv10-based deep learning system called Spitz detected significantly more spermatozoa than manual microscopy and improved agreement among forensic examiners ...