MobileDepth：基于轻量级视觉转换器的单目深度估算

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-07-01 DOI:10.1080/08839514.2024.2364159

Yundong Li, Xiaokun Wei

引用次数: 0

摘要

随着深度学习的兴起，基于卷积神经网络（CNN）的单目深度估计取得了令人瞩目的进展。基于卷积神经网络的单目深度估计取得了令人瞩目的进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

MobileDepth: Monocular Depth Estimation Based on Lightweight Vision Transformer

As deep learning takes off, monocular depth estimation based on convolutional neural networks (CNNs) has made impressive progress. CNNs are superior at extracting local characteristics from a singl...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.