High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks CNN泛華論文解讀
通常情況下，CNN表現特徵和肉眼可理解的特徵存在一定的出入，在CNN泛化能力上難以理解。本文以CMU 的汪浩瀚、邢波等人《High-frequency Component Helps Explain the Generalization of Convolutional Neural Network》中進行闡述。 參考 https://zhuanlan.zhihu.com/p/248068207
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相關文章
- 1. （論文解讀）High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks
- 2. CV：翻譯並解讀2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
- 3. Convolutional Neural Networks---Foundations of Convolutional Neural Networks
- 4. CNN (Convolutional Neural Networks) Abstract
- 5. 論文解讀-Bag of Tricks for Image Classification with Convolutional Neural Networks
- 6. 論文閱讀：Pointwise Convolutional Neural Networks
- 7. 論文閱讀：《Convolutional Neural Networks for Sentence Classification》
- 8. 【論文閱讀筆記】Ristretto： Hardware-Oriented Approximation of Convolutional Neural Networks
- 9. CS231n lecture 5 Convolutional Neural Networks(CNN)
- 10. 論文筆記《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》