A Lightweight Spatial Attention Module with Adaptive Receptive Fields in 3D Convolutional Neural Network for Alzheimer's Disease Classification.
Fei YuBaoqi ZhaoQingqing GeZhijie ZhangJunmei SunXiumei LiPublished in: ICPR Workshops (1) (2020)
Keyphrases
- lightweight
- convolutional neural network
- receptive fields
- machine learning
- face detection
- biologically inspired
- decision trees
- pattern recognition
- image classification
- natural images
- feature space
- visual attention
- spatio temporal
- feature vectors
- input space
- support vector machine
- visual cortex
- saliency map
- data sets
- support vector
- feed forward
- high level
- face recognition
- higher level