DCPNet: A Densely Connected Pyramid Network for Monocular Depth Estimation

DCPNet: A Densely Connected Pyramid Network for Monocular Depth Estimation

Pyramid architecture is a useful strategy to fuse multi-scale features in deep monocular depth estimation approaches. However, most pyramid networks fuse features only within the adjacent stages in a pyramid structure. To take full advantage of the pyramid structure, inspired by the success of Dense...

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Bibliographic Details
Main Authors: Zhitong Lai, Rui Tian, Zhiguo Wu, Nannan Ding, Linjian Sun, Yanjie Wang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
monocular depth estimation
pyramid networks
dense connection
feature fusion
Online Access:https://www.mdpi.com/1424-8220/21/20/6780

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https://www.mdpi.com/1424-8220/21/20/6780

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