IEEE

Continual Learning for Object Classification: Integrating AutoML for Binary Classification Tasks Within a Modular Dynamic Architecture

Abstract: For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current ...
Scientific Research Publishing

IEEE (2020) IEEE Standard for Learning Object Metadata.

ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...
IEEE

P2881/D4.0, Aug 2024 - IEEE Draft Standard for Learning Metadata Terms

Abstract: This Standard is a combination of new and existing metadata terms that were contextualized around learning and bundled with the purpose of addressing many of the common use cases of metadata ...
GitHub

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...