WaveMLP has demonstrated remarkable performance in various vision tasks, such as dense feature detection and semantic segmentation. However, WaveMLP, as a local model, imposes limitations on fully connected layers by only allowing connections between tokens within the same local window. This constraint makes the model neglect the relationship among tokens in different windows, leading to a local token fusion and a degraded modeling performance. Specially, it poses challenges when dealing with hyperspectral image (HSI) classification tasks that require capturing long-range dependencies. To addr...
