Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes解讀
論文地址：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9042876 年份：2020 關鍵詞：輕量級、精度和速度的平衡 一、工作 1.提出了一個高性能實時分割網絡，用於分割城市街道景色。實現了速度精度更好的平衡。上圖： 和主流的一些網路的對比 2.用到的模塊： （1）distinctive atrous spatial py
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相關文章
- 1. Semantic Segmentation---DenseASPP for Semantic Segmentation in Street Scenes（論文解讀十一）
- 2. 18-DenseASPP-for-Semantic-Segmentation-in-Street-Scenes
- 3. 論文閱讀 | A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
- 4. 《CNN based semantic segmentation for urban traffic scenes using fisheye camera》閱讀感悟
- 5. DenseASPP for Semantic Segmentation in Street Scenes閱讀筆記
- 6. 【圖像分割論文閱讀】DenseASPP for Semantic Segmentation in Street Scenes
- 7. 語義分割--Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
- 8. 語義分割--(DenseASPP )DenseASPP for Semantic Segmentation in Street Scenes
- 9. 語義分割--(FRRN)Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
- 10. Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes（FRRN））