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...
Saved in:
Main Authors: | Gadipudi, N., Elamvazuthi, I., Lu, C.-K., Paramasivam, S., Jegadeeshwaran, R. |
---|---|
格式: | Conference or Workshop Item |
出版: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
在線閱讀: | 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/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
WPO-net: Windowed pose optimization network for monocular visual odometry estimation
由: Gadipudi, N., et al.
出版: (2021) -
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
由: Gadipudi, N., et al.
出版: (2022) -
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
由: Gadipudi, N., et al.
出版: (2022) -
Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan
由: Ali, Kohan
出版: (2020) -
Variance based time-frequency mask estimation for unsupervised speech enhancement
由: Saleem, N., et al.
出版: (2019)