Attention-Set based Metric Learning for Video Face Recognition

12 Apr 2017 Yibo Hu Xiang Wu Ran He

Face recognition has made great progress with the development of deep learning. However, video face recognition (VFR) is still an ongoing task due to various illumination, low-resolution, pose variations and motion blur... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
Softmax
Output Functions
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
Location-based Attention
Attention Mechanisms
LSTM
Recurrent Neural Networks
Content-based Attention
Attention Mechanisms
Neural Turing Machine
Working Memory Models