GitHub

DART: Detect Anything in Real Time

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
GitHub

PCB Solder Defect Detection Based on Faster R-CNN

This project is a PCB (Printed Circuit Board) solder defect detection project based on Faster R-CNN. It is mainly used to detect different types of soldering defects in PCB images, especially small ...
IEEE

Weapon Detection Using Region-Based Convolutional Neural Network (RCNN)

Abstract: Automatic weapon detection in surveillance systems, increasing the safety of public areas. In this work, a deep-learningdetection method is presentedthat focuses on real-time performance. A ...
Hosted on MSN

Reviewing the scariest foreign objects people found in fast food orders

Raphael Gomes exposes disturbing objects people have found inside fast-food orders in real-life horror stories. Trump vs. Meloni 'popularity': What polls actually show as feud escalates Iran announces ...
IEEE

Feature-Enhanced Faster R-CNN for Small Object Detection in Complex Scenes

This study proposes a feature-enhanced Faster R-CNN algorithm to address the challenges of dense targets, varying object shapes, and complex backgrounds in remote sensing image detection. First, the ...