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Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"

License: GNU General Public License v3.0

Python 66.39% Jupyter Notebook 27.09% Shell 6.51%
deep-learning machine-learning neural-network paper pytorch semi-supervised-learning

msmatch's People

Contributors

gabrielemeoni avatar gomezzz avatar sirbastiano avatar

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Watchers

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Forkers

chaoso hulaba jjdbear tejasri19 fasladodo sirbastiano lucamarini22

msmatch's Issues

Data issues

Can you share the data you used for your experiment?

Environment file is outdated

  • Torchvision version is not specified. This leads to install the wrong version that is not compatible with pytorch==1.7.1.
  • imagaug is missing.

Operational problem

The code is not running yet. The following error is reported.

if args.rank % ngpus_per_node == 0:

ZeroDivisionError: integer division or modulo by zero

Model validation

Thank you for publishing the code.
I'm not sure if I understood correctly by looking through the code, did you generate separate validation dataset for selection of the best model to save, and how was the accuracy/loss on the validation dataset computed (since I suppose there would be no labels provided for validation, only pseudo-labels)?

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