IEEE

Comparative Analysis of Object Detection Algorithms for Bolt Detection: Performance Evaluation of Faster R-CNN, SSD, RetinaNet and YOLOv8n

With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...
IEEE

BBD-YOLO: An Improved Object Detection Algorithm for UAV Images Based on Dynamic Sparse Attention and Multi-Scale Feature Fusion

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Scientific Research Publishing

Padilla, R., Netto, S. L., & da Silva, E. A. B. (2020). A Survey on Performance Metrics for Object-Detection Algorithms. In 2020 International Conference on Systems, Signals ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
Scientific Research Publishing

Neha, F., Bhati, D., Shukla, D.K. and Amiruzzaman, M. (2024) From Classical Techniques to Convolution-Based Models: A Review of Object Detection Algorithms. arXiv: 2412.05252.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...