車道線檢測分類--Lane Detection and Classification using Cascaded CNNs
Lane Detection and Classifification using Cascaded CNNs 代碼戳 here 作者採用兩個級聯的CNN網絡，完成了車道線的實例分割和分類。第一個CNN網絡做車道線的實例分割，第二個CNN網絡對車道線實例進行分類。論文采用 TuSimple數據集。 實例分割 選擇ERFNet作爲主幹網絡，論文中車道線實例個數固定爲
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相關文章
- 1. 車道線-論文閱讀: Learning Lightweight Lane Detection CNNs by Self Attention Distillation
- 2. 車道線檢測 | Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Network 算法筆記
- 3. [車道線檢測論文學習] Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
- 4. 車道線檢測——Efficient Road Lane Marking Detection With Deep Learning
- 5. 車道線檢測--End-to-end Lane Detection through Differentiable Least-Squares Fitting
- 6. 論文筆記1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. 論文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 8. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 9. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 10. 論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks