Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN

Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN

Aiming at the problem of low accuracy in monocular vision image depth estimation, a monocular image depth estimation method based on Transformer and convolutional neural network is proposed. First, ResNet-50 is used as the backbone network of the encoder-decoder network to extract image features. At...

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Bibliographic Details
Main Authors: ZHANG Tao, ZHANG Xiao-li, REN Yan
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2022-12-01
Series:Journal of Harbin University of Science and Technology
Subjects:
cnn
encoder-decoder
transformer
depth estimation
monocular vision
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2162
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