Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attenti
借鑑了DenseNet的思想，用了空洞卷積而不是池化，使得特徵圖不會縮小，所以每一個dense鏈接均可以直接連，最後一層是包括了前面全部層的特徵圖。網絡
此外還加入了channel-wise的注意力，對每一個通道進行篩選。blog
作的仍是逐像素預測，選取一個像素點周圍d的大小輸入到網絡中，獲得標籤。內存
補充：channel
DenseNet 結構：im
內存開銷巨大。db
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相關文章
- 1. ImageNet Classification with Deep Convolutional Neural Networks
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