In semantic segmentation tasks. the transition from convolutional neural networks (CNNs) to transformers is driven by the latter's superior ability to capture global semantic information in remote sensing images. However. most transformer methods face challenges such as slow inference speed and limitations in capturing local features. https://www.olorunssports.shop/product-category/towy-boat-club/
Enhancing Remote Sensing Semantic Segmentation Accuracy and Efficiency Through Transformer and Knowledge Distillation
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