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Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification
On the other hand, the optimization of complex hyperparameters (e. g., the layer number and convolutional kernel size) is time-consuming and a very tough task, making the designed DL framework unexplainable.
Ranked #1 on
Hyperspectral Image Classification
on Houston
(using extra training data)
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