Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"
You can download the pretrained encoders here.
If you use this repo please consider citing our paper
@ARTICLE{9517282,
author={Bountos, Nikolaos Ioannis and Papoutsis, Ioannis and Michail, Dimitrios and Anantrasirichai, Nantheera},
journal={IEEE Geoscience and Remote Sensing Letters},
title={Self-Supervised Contrastive Learning for Volcanic Unrest Detection},
year={2021},
volume={},
number={},
pages={1-5},
doi={10.1109/LGRS.2021.3104506}}
backbone = torchvision.models.resnet50(pretrained=False)
backbone.fc = nn.Sequential(nn.Linear(2048, 2048), nn.ReLU(), backbone.fc)
backbone = torch.nn.parallel.DataParallel(backbone,device_ids=[0,1])
backbone.load_state_dict(torch.load('ResNet50_Simclr_500_Epochs.pt'))
backbone.module.fc = nn.Identity()
backbone = backbone.module