Metae2rl: Toward metareasoning for energy-efficient multi-goal reinforcement learning with...

[PDF] arxiv.org

Squeezed Edge YOLO: Onboard Object Detection on Edge Devices

E Humes, M Navardi, T Mohsenin - arXiv preprint arXiv:2312.11716, 2023 - arxiv.org
Demand for efficient onboard object detection is increasing due to its key role in
autonomous navigation. However, deploying object detection models such as YOLO on …
被引用次数：2 相关文章 所有 3 个版本
[PDF] arxiv.org

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices

HA Rashid, A Sarkar, A Gangopadhyay… - arXiv preprint arXiv …, 2024 - arxiv.org
Traditional machine learning models often require powerful hardware, making them
unsuitable for deployment on resource-limited devices. Tiny Machine Learning (tinyML) has …
相关文章 所有 2 个版本