metadata
license: mit
tags:
- kornia
- feature-description
- patch-descriptor
kornia/hynet
Pretrained weights for HyNet,
used by kornia.feature.HyNet.
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
Weights
| File | Training data |
|---|---|
HyNet_LIB.pth |
Liberty |
HyNet_ND.pth |
Notre Dame |
HyNet_YOS.pth |
Yosemite |
Citation
@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}
}