Researchers from Sun Yat-sen University (SYSU) and the Institute of High Energy Physics (IHEP) have developed a novel top ...

Abstract: Source-free domain adaptive object detection (SFOD) enables detectors trained on a ... for small objects and outperforms previous SFOD approaches by effectively using domain-invariant ...

The diffusion-based approach led to much higher accuracy in detecting objects, even though it used fewer images. Specifically, it improved the detection performance by 11% while using 67% fewer ...

Payment Fraud Detection and Prevention ... individuals into sharing their financial and other sensitive information using hardware and software hijacking technology. Payment fraud happens when ...

We present a new fully complementary metal-oxide semiconductor (CMOS) circuit-based system for object detection and recognition using a Spiking Neural Network (SNN). Our holistic CMOS circuit ...

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...

Each tracker was configured using the default ... the classes flag, python tracking/track.py --source 0 --yolo-model yolov8s.pt --classes 16 17 # COCO yolov8 model. Track cats and dogs, only Here is a ...