SDGMNet
Codes and models - "SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning"
Install / Use
/learn @ACuOoOoO/SDGMNetREADME
SDGMNet
SDGMNet models in Pytorch for paper "SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning".
Training Code
python train.py --datadir='./UBC'
Results on Image Matching Challenge
Pre-trained models
Pre-trained models and loggers on UBC PhotoTour can be found in pretrained. State-of-the-art models trained on Liberty for Image matching challenge can be found in pretrained/models/PHM0.2.
Losses
We implement several state-of-the-art losses including SDGMNet, SOSNet and HyNet.
Citation
Please cite us if you use these models
@article{ma2021sdgmnet,
title={SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning},
author={Ma, Jiayi and Deng, Yuxin},
journal={arXiv preprint arXiv:2106.04434},
year={2021}
}
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