Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation

Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation

Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human–computer interaction. Through recent advancements in deep learning technologies, monocular depth estimation, with its simplicity, has surpassed the tradi...

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Bibliographic Details
Main Authors: Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
monocular depth estimation
convolutional neural networks
residual vision transformer
adaptive fusion
autoencoder
Online Access:https://www.mdpi.com/1424-8220/25/1/80
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