Methods › Computer Vision › Convolutional Neural Networks › uNetXST
uNetXST
Introduced by Lennart Reiher et al. in A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
uNet neural network architecture which takes multiple (X) tensors as input and contains Spatial Transformer units (ST)
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View 8 May 2020 · 2 repositories · arXiv:2005.04078Syntology ran 0 of 6 samples · 6 unverified
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Bird View Synthesis | 1 |
| Cross-View Image-to-Image Translation | 1 |
| Image Stitching | 1 |
| Semantic Segmentation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections