系統分析Hyperspectral Image Classification in the Presence of Noisy Labels
最近一段時間閱讀了一下Hyperspectral Image Classification in the Presence of Noisy Labels這篇文章，感覺文章給我的感覺就是很新穎，從題目可以看出，文章是針對label noise做出的一種改善，實際上在這之前，我只知道圖像會有噪聲，對於label，還是存了一種「盲從」的心理，從這篇文章也可以得到一點點啓發，我們還是要對現有的事物抱有
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相關文章
- 1. Hyperspectral Image Classification in the Presence of Noisy Labels
- 2. Generative Adversarial Networks for Hyperspectral Image Classification
- 3. Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
- 4. Image Classification
- 5. ColorNet: Investigating the importance of color spaces for image classification
- 6. Hyperspectral Image Classification With Deep Feature Fusion Network
- 7. Improving Inception and Image Classification in Tensorflow
- 8. A new deep convolutional neural network for fast hyperspectral image classification Review
- 9. 【論文筆記】Reaching agreement in the presence of faults (EIG)
- 10. Deep Learning for Hyperspectral Image Classification:An Overview