Numerous studies have demonstrated the strong performance of Vision Transformer (ViT)-based methods across various computer vision tasks. However. ViT models often struggle to effectively capture high-frequency components in images. which are crucial for detecting small targets and preserving edge details. https://www.trainingmahasiswa.com/product-category/cakes-chocolate-2/
HiFiSeg: High-Frequency Information Enhanced Polyp Segmentation With Global-Local Vision Transformer
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