Analysis of Unsupervised Loss Functions for Homography Estimation
Neural networks proved their ability in complex classification and regression problems using labeled data. Recent trends have shown the impressive performance of neural networks in more complex problems like estimating ego-motion and homography tasks. Due to complexity and time consumption for label...
| Main Authors: | Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Jegadeeshwaran, R. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29207 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124144798&doi=10.1109%2fICIAS49414.2021.9642689&partnerID=40&md5=941af55a7463560f685a188c8dbe5e96 http://eprints.utp.edu.my/29207/ |
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