Micro-object pose estimation with sim-to-real transfer learning using small dataset
High-resolution scanning tunnelling microscopy is a state-of-the-art imaging technique at the nanometer scale. This work presents a novel deep learning approach for 3D pose estimation of micro/nano-objects, particularly useful in regimes of limited experimental data.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-04-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-022-00844-z |