BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging.
Ziheng ChengRuiying LuZhengjue WangHao ZhangBo ChenZiyi MengXin YuanPublished in: ECCV (24) (2020)
Keyphrases
- recurrent neural networks
- recurrent networks
- echo state networks
- feedforward neural networks
- neural network
- feed forward
- reservoir computing
- complex valued
- video data
- hidden layer
- video sequences
- artificial neural networks
- multimedia
- cascade correlation
- video content
- image processing
- long short term memory
- imaging systems
- feed forward neural networks
- nonlinear dynamic systems
- real time
- video streams
- neural model
- neural models
- image analysis
- combining information from multiple
- training algorithm
- training process
- video frames
- medical imaging
- high resolution
- multi agent
- biologically inspired
- sparse representation