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Learning Temporal Features Using LSTM-CNN Architecture for Face Anti-spoofifing
時間 2020-12-30
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Learning Temporal Features Using LSTM-CNN Architecture for Face Anti-spoofifing 標籤: 論文 anti-spooing 論文出處: 2015 3rd IAPR Asian Conference on Pattern Recognition 本文提出的方法 本文的貢獻有,使用了端到端的網絡進行欺詐檢測,提出了LSTM-C
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相關文章
1.
Transfer Learning Using ConvolutionalNeural Networks for Face Anti-spoofifing
2.
awesome-face-anti-spoofing
3.
Deep Temporal Clustering: Fully unsupervised learning of time-domain features
4.
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5.
【論文復現PaddlePaddle】 Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognit
6.
《論文閱讀》Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
7.
Face Anti-Spoofing簡記1-Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
8.
Adversarial Spatio-Temporal Learning for Video Deblurring
9.
Learning Face Age Progression: A Pyramid Architecture of GANs
10.
【Face Detection】《Face Detection using Deep Learning: An Improved Faster RCNN Approach》
>>更多相關文章<<