SCNN(Spatial As Deep: Spatial CNN for Traffic Scene Understanding)論文筆記
論文地址：Spatial As Deep: Spatial CNN for Traffic Scene Understanding 代碼：SCNN 摘要： 卷積神經網絡通常是逐層堆疊的卷積操作構成，雖然有強大的特徵提取能力，從像素中提取語義信息，但是跨行列提取圖像的空間信息的能力並沒有完全被利用。這些信息對像車道線和電線杆這種有很強的外觀先驗很弱的外觀線索的目標是很重要的，這些目標經常會被遮擋或沒
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相關文章
- 1. Spatial As Deep: Spatial CNN for Traffic Scene Understanding論文翻譯
- 2. 語義分割--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding
- 3. SCNN車道線檢測--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding（論文解讀）
- 4. [車道線檢測論文學習]SCNN-Spatial As Deep: Spatial CNN for Traffic Scene Understanding
- 5. 論文筆記《Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting》
- 6. 論文筆記(1) : Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
- 7. [論文筆記]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 8. [論文筆記]Learning Deep Features for Scene Recognition using Places Database
- 9. 《DANet：Dual Attention Network for Scene Segmentation》論文筆記
- 10. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition論文筆記