| --- |
| 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} |
| } |
| ``` |
|
|
