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 ...
cursus.edu

Learning with objects, an object lesson

At a time when adult education is being digitized at breakneck speed, a counter-trend is asserting itself: that of a return to the body, to materiality and to objects as living supports for learning.
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
TMCnet

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ®, and marked its fourth ...
Business Wire

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

BOCA RATON, Fla.--(BUSINESS WIRE)--Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ...
Scientific Research Publishing

Asuncion, A. and Newman, D. (2007) UCI Machine Learning Repository. Irvine University of California.

ABSTRACT: The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the ...
Frontiers

Deep learning-based object detection for environmental monitoring using big data

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Frontiers

Multi-modal remote sensory learning for multi-objects over autonomous devices

Introduction: There has been an increasing focus on object segmentation within remote sensing images in recent years due to advancements in remote sensing technology and the growing significance of ...
IEEE

Querying Heterogeneous and Distributed Learning Object Repositories via Ontology-Based Mediation

Abstract: 1We propose a mediator architecture that allows a learning system to retrieve learning objects (LOs) from heterogeneous repositories of LOs and not exclusively from its proprietary ...