SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition.
Adrian SandruGeorgian-Emilian DutaMariana-Iuliana GeorgescuRadu Tudor IonescuPublished in: CoRR (2020)
Keyphrases
- robust recognition
- recognition rate
- pose invariant face recognition
- visual focus of attention
- recognition accuracy
- face recognition under varying
- partial occlusion
- improve recognition accuracy
- focus of attention
- power line
- pose estimation
- maximum likelihood
- facial pose
- spatial and temporal
- object recognition
- spatial filtering
- object representation
- spatial information
- signal processing
- d objects
- pattern recognition
- spatial data
- recognition algorithm
- illumination invariance
- feature extraction
- position and orientation
- personal information
- visual attention
- estimation algorithm
- gesture recognition
- activity recognition
- action recognition
- least squares
- computer vision
- object models
- estimation error
- recognize faces
- spatio temporal
- shape context matching