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...
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| 主要な著者: | , , , , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| オンライン･アクセス: | 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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