Investigating ResNet Variants in U-Net to Obtain High-Quality Depth Maps in Indoor Scenes

Author:

Pinasthika Krisna1ORCID,Utaminingrum Fitri1ORCID

Affiliation:

1. Computer Vision Research Group, Universitas Brawijaya, Indonesia

Funder

International Cooperation Research Grant/Hibah Penelitian Kerjasama Internasional (HAPKI)

Publisher

ACM

Reference28 articles.

1. Deep learning for monocular depth estimation: A review

2. Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation

3. 3D object detection for autonomous driving: Methods, models, sensors, data, and challenges

4. I. Alhashim and P. Wonka , “ High Quality Monocular Depth Estimation via Transfer Learning ,” Dec. 2018 , [Online]. Available: http://arxiv.org/abs/1812.11941 I. Alhashim and P. Wonka, “High Quality Monocular Depth Estimation via Transfer Learning,” Dec. 2018, [Online]. Available: http://arxiv.org/abs/1812.11941

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