R-C3D Region Convolutional 3D Network for Temporal Activity Detection
R-C3D:用於時間活動檢測的區域卷積三維網絡 原論文鏈接 這篇文章是ICCV 2017的一篇文章，作者主要是以C3D網絡爲基礎。借鑑了Faster RCNN的思路，對於任意的輸入視頻L，先進行proposal，然後3D-pooling,最後後進行分類和迴歸操作。 本文的主要貢獻有： 1.一個端到端行爲檢測模型，結合了活動proposal和分類階段，可以檢測任意長度的活動 2.通過在proposa
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相關文章
- 1. R-C3D: Region Convolutional 3D Network for Temporal Activity Detection
- 2. 3d fully convolutional network for vehicle detection in point cloud
- 3. Convolutional Neural Network - Object Detection
- 4. PBRNet:Progressive Boundary Refinement Network for Temporal Action Detection （AAAI 2020）
- 5. 3D Fully Convolutional Network for Vehicle Detection in Point Cloud解析(3D-CNN模型）
- 6. MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
- 7. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- 8. TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation 翻譯
- 9. 【翻譯】Convolutional Experts Network for Facial Landmark Detection
- 10. Deep Convolutional Network Cascade for Facial Point Detection（DCNN）