‘AI Nirikshak’ detected 58 suspected objects Near Vidhan Bhavan during Winter Session

Nagpur: The AI-powered crowd management system, AI Nirikshak, effectively raised alarms during the Winter Assembly Session in ...
GIM International

Comparing semantic segmentation approaches to MLS point clouds

The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...
EurekAlert!

Eyes for an agricultural robot: AI system identifies weeds in apple orchards

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.
IEEE

A Comprehensive Study On Underwater Object Detection Using Deep Neural Networks

Abstract: The escalating crisis of marine pollution, especially the buildup of underwater waste, poses a significant threat to ocean ecosystems and marine life. Identifying and removing submerged ...
IEEE

Explainable Federated Learning-Based Secure and Transparent Object Detection Model for Autonomous Vehicles

Abstract: Intelligent Transportation Systems (ITS) and autonomous vehicles (AVs) are two fast-moving research fields. Understanding the surroundings and acting quickly is essential for AV control, ...
GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...