Attention-based Deep Reinforcement Learning for Multi-view Environments.
Elaheh BaratiXuewen ChenZichun ZhongPublished in: AAMAS (2019)
Keyphrases
- multi view
- reinforcement learning
- multiple views
- single view
- depth map
- d objects
- camera calibration
- three dimensional
- multiple cameras
- surface reconstruction
- multi view stereo
- scene reconstruction
- view synthesis
- multi view images
- semi supervised
- bundle adjustment
- stereo video
- range images
- scene flow estimation
- visual hull
- multi view face detection
- depth video
- multi view reconstruction
- co training
- light field
- active appearance models
- state space
- transfer learning
- vision system
- supervised learning