Resource-efficient, sensor-based human activity recognition with lightweight deep models boosted with attention
With their automatic feature extraction capabilities, deep learning models have become
more widespread in sensor-based human activity recognition, particularly on larger …
more widespread in sensor-based human activity recognition, particularly on larger …
Self-supervised anomaly detection and localization for X-ray cargo images: Generalization to novel anomalies
Robust detection of illicit items using X-ray inspection methods has gained increasing
importance in recent years due to the large volume of cargo crossing international borders …
importance in recent years due to the large volume of cargo crossing international borders …
Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images
Robust detection of illicit items using X-ray inspection methods has gained increasing
importance in recent years due to the large volume of cargo crossing borders. Viewing this …
importance in recent years due to the large volume of cargo crossing borders. Viewing this …
Amultistage Approach For Object Detection And Efficient Parsing Of Video Content
This research paper aims to introduce a new system that can efficiently parse video content
by detecting and storing objects in each frame. The system utilizes advanced computer …
by detecting and storing objects in each frame. The system utilizes advanced computer …