Safety is one of the U.S. Army Test and Evaluation Command (ATEC)’s most critical considerations as it helps Army senior leaders determine whether to ...

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 ...

TL;DR: We show how object detection models can be turned into multi-object tracking models with almost no overhead. We also introduce a pre-training scheme on detection that improves tracking without ...

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 ...

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 ...

Introduction: When humans grasp an object, they are capable of recognizing its characteristics, such as its stiffness and shape, through the sensation of their hands. They can also determine their ...

Organic molecules are invisible objects, but they can be visualized and manipulated by using molecular models. The object-based learning (OBL) approach, which is an educational tool developed for ...

The problem that this research seeks to address lies in the inherent limitations of existing large language models (LLMs) when applied to formal theorem proving. Current models are often trained or ...

Introduction: When it comes to interpreting visual input, intelligent systems make use of contextual scene learning, which significantly improves both resilience and context awareness. The management ...