Abstract: Cost-effective localization methods for autonomous underwater vehicle navigation are key for ocean monitoring and data collection at high resolution in time and space. Algorithmic solutions ...

On-device learning has emerged as a promising direction for AI development, particularly because of its potential to reduce latency issues and mitigate privacy risks associated with device-server ...

Abstract: The robust tracking of group targets, such as bird flocks and uncrewed aerial vehicle (UAV) swarms, is crucial for situational awareness and individual tracking. The main characteristics of ...

This repository showcases a complete pipeline for high-quality Image Sharpening using Knowledge Distillation (KD). A pretrained Restormer model acts as the high-capacity teacher, while a lightweight ...