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DMSGer

Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

Paper Name: Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification
Paper Link: https://ieeexplore.ieee.org/abstract/document/9927317

1668232839898

The versions of related packages when we conducted this experiment,

pytorch==1.6.0 python==3.6.0 CUDA==11.3 numpy==1.19.5

Of course, you might be able to run this code in lower versions of these packages.

Note, if your results of slic is as follows,

Please update your sklearn version to 0.18.3 (scikit-image==0.18.3, python==3.8). The correct result is as follows,

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Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

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