Stacked U-Nets with Multi-Output for Road Extraction
Abstract 本文提出了一种使用具有多个输出的重叠U-Net（stacked U-Net）进行道路提取的新方法，混合损失函数（hybrid loss function）用于解决训练数据类别不均衡的问题。后处理方法（Post-processing methods）可以提高召回率（road map vectorization and shortest path search with hierar
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相关文章
- 1. Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
- 2. LiDAR Textbook & Automated Road Network Extraction
- 3. Road Extraction by Deep Residual U-Net
- 4. 翻译：using mobile laser scanning data for automated extraction of road markings
- 5. C1W1-06_feature-extraction-with-frequencies
- 6. SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from
- 7. Ensemble Neural Relation Extraction with Adaptive Boosting
- 8. [SDN]Stacked Deconvolutional Network for Semantic Segmentation
- 9. 《Stacked Cross Attention for Image-Text Matching》
- 10. Stacked Hourglass Networks for Human Pose Estimation