NAN论文解读：Neural Aggregation Network for Video Face Recognition
Neural Aggregation Network for Video Face Recognition是CVPR2017的一篇论文，来源https://arxiv.org/abs/1603.05474。 主要目标是做基于视频的人脸识别。 网络分两个模块： 模块1 Feature embedding module：采用GoogLeNet+Batch Normalization的普通人脸识别网络，
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相关文章
- 1. Neural Aggregation Network论文翻译
- 2. 论文阅读：VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Reco
- 3. Decoupled Attention Network for Text Recognition——论文解读
- 4. PANet：Path Aggregation Network for Instance Segmentation论文阅读
- 5. Multi-Task Convolutional Neural Network for Face Recognition阅读笔记
- 6. FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition论文个人解读
- 7. 论文阅读（10）Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
- 8. 1705.IAN- The Individual Aggregation Network for Person Search 论文阅读笔记
- 9. 论文解读Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks
- 10. 人脸识别方向论文笔记（3）-- Sparsifying Neural Network Connections for Face Recognition