SCNN(Spatial As Deep: Spatial CNN for Traffic Scene Understanding)论文笔记
论文地址：Spatial As Deep: Spatial CNN for Traffic Scene Understanding 代码：SCNN 摘要： 卷积神经网络通常是逐层堆叠的卷积操作构成，虽然有强大的特征提取能力，从像素中提取语义信息，但是跨行列提取图像的空间信息的能力并没有完全被利用。这些信息对像车道线和电线杆这种有很强的外观先验很弱的外观线索的目标是很重要的，这些目标经常会被遮挡或没
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- 2. 语义分割--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding
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相关文章
- 1. Spatial As Deep: Spatial CNN for Traffic Scene Understanding论文翻译
- 2. 语义分割--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding
- 3. SCNN车道线检测--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding（论文解读）
- 4. [车道线检测论文学习]SCNN-Spatial As Deep: Spatial CNN for Traffic Scene Understanding
- 5. 论文笔记《Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting》
- 6. 论文笔记(1) : Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
- 7. [论文笔记]Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 8. [论文笔记]Learning Deep Features for Scene Recognition using Places Database
- 9. 《DANet：Dual Attention Network for Scene Segmentation》论文笔记
- 10. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition论文笔记