Self-Supervised Monocular Depth Estimation Using Hybrid Transformer Encoder
Author:
Affiliation:
1. School of Electronics and Information Engineering, Korea Aerospace University, Goyang, Republic of Korea
2. School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang, Republic of Korea
Funder
2020 Korea Aerospace University Faculty Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9906561/09864127.pdf?arnumber=9864127
Reference56 articles.
1. Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
2. Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume
3. Self-Supervised Monocular Depth Hints
4. Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
5. Image Quality Assessment: From Error Visibility to Structural Similarity
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