A new CNN-Transformer hybrid with twin-branch 3D/2D convolution, hybrid pooling attention, cascade spectral transformers, and cross-layer fusion reports higher accuracy than prior methods on standard hyperspectral datasets.
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A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification
A new CNN-Transformer hybrid with twin-branch 3D/2D convolution, hybrid pooling attention, cascade spectral transformers, and cross-layer fusion reports higher accuracy than prior methods on standard hyperspectral datasets.