C.J. Holder
Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments
Holder, C.J.; Breckon, T.P.
Citation
Holder, C., & Breckon, T. (2018, June). Encoding Stereoscopic Depth Features for Scene Understanding in Off-Road Environments. Presented at 15th International Conference on Image Analysis and Recognition (ICIAR 2018)., Póvoa de Varzim, Portugal
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 15th International Conference on Image Analysis and Recognition (ICIAR 2018). |
Start Date | Jun 27, 2018 |
End Date | Jun 29, 2018 |
Acceptance Date | Mar 22, 2018 |
Online Publication Date | Jun 27, 2018 |
Publication Date | 2018 |
Deposit Date | Apr 6, 2018 |
Publisher | Springer Verlag |
Pages | 427-434 |
Book Title | Proc. Int. Conf. Image Analysis and Recognition |
DOI | https://doi.org/10.1007/978-3-319-93000-8_48 |
Keywords | automotive vision, terrain segmentation, terrain segments, transfer learning, convolutional neural networks, stereo vision |
Public URL | https://durham-repository.worktribe.com/output/1145028 |
Publisher URL | https://breckon.org/toby/publications/papers/holder18offroaddepth.pdf |
You might also like
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
(2024)
Journal Article
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
(2023)
Journal Article
Cross-Domain Structure Preserving Projection for Heterogeneous Domain Adaptation
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search