R-C3D Region Convolutional 3D Network for Temporal Activity Detection
R-C3D:用于时间活动检测的区域卷积三维网络 原论文链接 这篇文章是ICCV 2017的一篇文章，作者主要是以C3D网络为基础。借鉴了Faster RCNN的思路，对于任意的输入视频L，先进行proposal，然后3D-pooling,最后后进行分类和回归操作。 本文的主要贡献有： 1.一个端到端行为检测模型，结合了活动proposal和分类阶段，可以检测任意长度的活动 2.通过在proposa
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相关文章
- 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 翻译
- 9. 【翻译】Convolutional Experts Network for Facial Landmark Detection
- 10. Deep Convolutional Network Cascade for Facial Point Detection（DCNN）