ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks.
Rajat SainiNandan Kumar JhaBedanta DasSparsh MittalC. Krishna MohanPublished in: CoRR (2020)
Keyphrases
- lightweight
- convolutional neural networks
- convolutional network
- high speed
- principal component analysis
- subspace learning
- dimensionality reduction
- subspace clustering
- authentication protocol
- development environments
- communication infrastructure
- feature extraction
- object detection
- low dimensional
- access control
- wireless sensor networks
- visual attention
- linear subspace
- web services