Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...

From scanning drone footage to shaping real-time targeting decisions, the Pentagon’s Project Maven has evolved into a central ...

Effective cobot safety combines collision detection and avoidance, enhancing human-robot collaboration through advanced sensing and adaptive planning.

Precision in human-robot interaction depends on the ability to recognise and track human faces along with detailed facial ...

U.S. intelligence officials have assessed that Iranian forces have deployed a small number of mines in the Strait of Hormuz, ...

Amidst this crisis, machine learning has emerged as a potential solution to these limitations, offering continuous, non-invasive monitoring that can operate across the full daily cycle of animals, ...

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Label-Efficient 3D Object Detection is a set of techniques designed to train 3D object detection models using minimal labeled data. These methods leverage strategies like semi-supervised learning, ...