MixerCA is a new lightweight model that integrates depthwise convolution, mixing operations, and coordinate attention to achieve superior accuracy and efficiency on hyperspectral image classification benchmarks compared with prior CNN and transformer methods.
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MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification
MixerCA is a new lightweight model that integrates depthwise convolution, mixing operations, and coordinate attention to achieve superior accuracy and efficiency on hyperspectral image classification benchmarks compared with prior CNN and transformer methods.