IEEE

IPS-YOLO: Iterative Pseudo-Fully Supervised Training of YOLO for Weakly Supervised Object Detection in Remote Sensing Images

Abstract: Weakly supervised object detection (WSOD) in remote sensing images (RSIs) only requires image-level labels, greatly reducing the cost of manual annotations. Recently, the pseudo-fully ...
IEEE

DREB-Net: Dual-Stream Restoration Embedding Blur-Feature Fusion Network for High-Mobility UAV Object Detection

Abstract: Object detection algorithms are pivotal components of UAV imaging systems, extensively employed in complex fields. However, images captured by high-mobility UAVs often suffer from motion ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

This project is a computer vision system designed to detect weapons in video streams or files. It is intended to enhance public safety by identifying dangerous objects such as firearms in real-time or ...
9to5Mac

Apple highlights third-party apps using new Foundation Model models in iOS 26

iOS 26 includes multiple new Apple Intelligence features, but one of the biggest changes is that Apple has opened up its AI models to third-party developers. This allows third-party apps to plug ...
GitHub

Real-Time Object Detection Meets DINOv3

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 ...