IEEE

Mamba*YOLO: Lightweight and Accurate Object Detection via Regional Attention With Gated Enhancement

Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
GitHub

RF-DETR: SOTA Real-Time Object Detection Model

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
IEEE

FuDA-YOLO: Low-light Object Detection using Multi-scale Fusion Domain Adaptation

Abstract: Low-light Object Detection (LOD) is a significant research field in computer vision. In some application fields of automatic driving, security monitoring and so on, it has great value and ...
GitHub

NOLOcam - Never Only Look Once

NOLOcam is a sophisticated Go-based system for tracking and monitoring objects using PTZ cameras with YOLO object detection. Unlike YOLO's "You Only Look Once" approach, NOLOcam continuously tracks ...