SECOND: Sparsely Embedded Convolutional Detection
SECOND: Sparsely Embedded Convolutional Detection 簡介 3D目標檢測整體框架 數據增強 體素網格特徵提取器: 稀疏卷積中間層 區域提議網絡RPN Loss 簡介 基於體素劃分的3D卷積網絡可以較好的處理lidar信息，但是有推理速度慢和朝向估計的性能差的不足。 SECOND貢獻： 提出了一種改進的稀疏卷積網絡，應用於基於LiDAR的目標檢測任務中，
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相關文章
- 1. 論文筆記 ： SECOND: Sparsely Embedded Convolutional Detection
- 2. 論文閱讀 SECOND:Sparsely Embedded Convolutional Detection
- 3. LCDet Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems
- 4. Object detection at 200 Frames Per Second
- 5. Memory Leak Detection in Embedded Systems
- 6. Convolutional Neural Network - Object Detection
- 7. FCOS:Fully Convolutional One-Stage Object Detection
- 8. Convolutional Neural Networks（week 3）---Object detection
- 9. FCOS: Fully Convolutional One-Stage Object Detection
- 10. R-FCN: Object Detection via Region-based Fully Convolutional Networks