learning-topology-synthetic-data
student-teacher-anomaly-detection
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| learning-topology-synthetic-data | student-teacher-anomaly-detection | |
|---|---|---|
| 5 | 1 | |
| 37 | 172 | |
| - | - | |
| 4.3 | 0.0 | |
| 9 months ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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learning-topology-synthetic-data
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Want to use synthetic data, but don't want to deal with domain gap?
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
paper: https://arxiv.org/pdf/2106.02994.pdf
Here are some of the reconstructions produced by our method:
https://github.com/alexklwong/learning-topology-synthetic-da...
https://github.com/alexklwong/learning-topology-synthetic-da...
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[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data
student-teacher-anomaly-detection
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[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
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