Foreign object detection (FOD) in railway catenary systems is crucial for ensuring operational safety and preventing catastrophic failures. However, current detection frameworks encounter two ...

Now that you have installed the required deep learning models and image filters, you can use them to run through each of the architecture diagrams below. Based on this diagram, we are running ...

Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.

To address these issues, this paper proposes a marine optical remote sensing object detection architecture based on transformer and dual path architecture (MOD-TD), aiming to improve the accuracy and ...

4. Visuals, Architecture, Graphs Description: Includes visualizations, architecture diagrams, and training graphs for better understanding and analysis. Contents: Architecture diagrams for model ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

3 Methodology In the proposed moving object detection framework, four main stages are involved, namely, pre-processing: histogram equalization technique; segmentation: weighted Otsu-based segmentation ...