Deep object detection models have made significant strides, but the need for large training datasets…
This study explores the challenge of acquiring large amounts of training data for deep object…
This research aims to see if it can improve computer-based anomaly detection systems for contraband…
This research proposes the use of SNNs integrated with X-ray scans to enhance Anomaly Detection.…
The potato virus Y can infect potatoes and heavily impact the strong position Dutch potato…
We provide an object detection model that demonstrates the usability of deep learning in helmet…
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
This paper focuses on automatic identification of defective roofs and window casings using anomaly detection.…
We propose an automated classification approach using CNNs to detect and classifybuilding components. Aerial images…
