Update README

README.md

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+---
+license: mit
+tags:
+  - kornia
+  - feature-description
+  - patch-descriptor
+---
+
+# kornia/hynet
+
+Pretrained weights for **HyNet**,
+used by [`kornia.feature.HyNet`](https://kornia.readthedocs.io/en/latest/feature.html).
+
+HyNet is a 128-dimensional patch descriptor that replaces batch normalisation with
+Filter Response Normalisation and trains with a hybrid similarity measure combining
+L2 distance and cosine similarity under a triplet margin loss. NeurIPS 2020.
+
+**Original repo:** [yuruntian/HyNet](https://github.com/yuruntian/HyNet)
+
+## Weights
+
+| File | Training data |
+|------|--------------|
+| `HyNet_LIB.pth` | Liberty |
+| `HyNet_ND.pth` | Notre Dame |
+| `HyNet_YOS.pth` | Yosemite |
+
+## Citation
+
+```bibtex
+@inproceedings{hynet2020,
+    author    = {Tian, Yurun and Barroso Laguna, Axel and Ng, Tony
+                 and Balntas, Vassileios and Mikolajczyk, Krystian},
+    title     = {{HyNet}: Learning Local Descriptor with Hybrid Similarity
+                 Measure and Triplet Loss},
+    booktitle = {NeurIPS},
+    year      = {2020}
+}
+```