CRV05 Video-Based Framework for Face Recognition in Video主要内容记录
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FRiV Face Recognition in Video
识别的流程在第四部分
4.输入视频 输出neuron
4.1 从视频中记录脸
任务1：追踪人脸区域
任务2：过滤错误脸
任务3：剪切人脸区域，重置大小
任务4：人脸提取二值接受向量R（形成特征向量）
a)灰度化
b)居中
c)减去平均值
任务5：标记人脸所属类别
任务6：更新突触
0 0
- CRV05 Video-Based Framework for Face Recognition in Video主要内容记录
- 人脸识别“Neural Aggregation Network for Video Face Recognition”
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- Two-Stream Convolutional Networks for Action Recognition in Video
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- Deep Feature Flow for Video Recognition读书笔记
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- Spatiotemporal Residual Networks for Video Action Recognition
- Spatiotemporal Multiplier Networks for Video Action Recognition
- [深度学习论文笔记][Video Classification] Two-Stream Convolutional Networks for Action Recognition in Videos
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- Modeling Video Evolution For Action Recognition - cvpr - 2015
- 视频检测分割--Deep Feature Flow for Video Recognition
- 论文阅读《Spatiotemporal Multiplier Networks for Video Action Recognition》
- 论文阅读《Deep Vieo Code for Efficient Face Video》
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- CRV05 Video-Based Framework for Face Recognition in Video主要内容记录
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