系统分析Hyperspectral Image Classification in the Presence of Noisy Labels
最近一段时间阅读了一下Hyperspectral Image Classification in the Presence of Noisy Labels这篇文章，感觉文章给我的感觉就是很新颖，从题目可以看出，文章是针对label noise做出的一种改善，实际上在这之前，我只知道图像会有噪声，对于label，还是存了一种“盲从”的心理，从这篇文章也可以得到一点点启发，我们还是要对现有的事物抱有
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- 3. Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
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相关文章
- 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. 【论文笔记】Reaching agreement in the presence of faults (EIG)
- 10. Deep Learning for Hyperspectral Image Classification:An Overview