Paper Reading -- 《Learning to Pay Attention on Spectral Domain：......》
論文：《Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification》 1. Motivation 提出問題： 在高光譜影像分類任務中，所有的波段對CNN的貢獻是否相同？ 如果不相
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相關文章
- 1. Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
- 2. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
- 3. paper reading：[第一代GCN] Spectral Networks and Deep Locally Connected Networks on Graphs
- 4. #Paper Reading# TabNet: Attentive Interpretable Tabular Learning
- 5. Paper reading (七十五)：I sense overeating: Motif-based machine learning framework to detect overeating
- 6. Paper Reading -- CBAM: Convolutional Block Attention Module
- 7. Paper Reading - Attention Is All You Need ( NIPS 2017 ) ★
- 8. Paper Notes: Cross-Domain Image Translation Based on GAN
- 9. Paper Reading-YOLOv4
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