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license: mit
tags:
- kornia
- affine-shape-estimation
- feature-detection
---
# kornia/affnet
Pretrained weights for **AffNet**,
used by [`kornia.feature.LAFAffineShapeEstimator`](https://kornia.readthedocs.io/en/latest/feature.html).
AffNet is a CNN that estimates the 2×2 affine shape matrix for a detected keypoint patch,
making subsequent description invariant to affine transformations. Trained jointly with
HardNet to maximise discriminability of affine-normalised patches. ECCV 2018.
**Original repo:** [ducha-aiki/affnet](https://github.com/ducha-aiki/affnet)
## Weights
| File | Description |
|------|-------------|
| `AffNet.pth` | Default checkpoint |
## Citation
```bibtex
@inproceedings{AffNet2018,
author = {D. Mishkin and F. Radenovic and J. Matas},
title = {{Repeatability is Not Enough}: Learning Affine Regions
via Discriminability},
booktitle = {ECCV},
year = {2018}
}
```
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