ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation筆記
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (a)是intial block。Input爲512x512。Num_filters爲13，max_pool爲2x2，s=2，concat變成16x512x512 (b)bottleneck module：1x1conv reduce dim +
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相關文章
- 1. 【閱讀筆記】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
- 2. 《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》論文筆記
- 3. ENet: A deep neural network architecture for real-time semantic segmentation
- 4. 論文閱讀：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 5. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 6. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation----2016年 論文翻譯解讀
- 7. 【圖像分割論文閱讀】ENet：A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 8. 【閱讀筆記】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》
- 9. 論文筆記：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
- 10. 論文筆記：Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation