SECOND: Sparsely Embedded Convolutional Detection

時間 2020-12-28

標籤機器學習 3D檢測简体版

原文原文鏈接

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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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
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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

>>更多相關文章<<