MATE: Multi-view Attention for Table Transformer Efficiency.
Julian Martin EisenschlosMaharshi GorThomas MüllerWilliam W. CohenPublished in: CoRR (2021)
Keyphrases
- multi view
- single view
- multiple views
- depth map
- three dimensional
- bundle adjustment
- d objects
- semi supervised
- multiple cameras
- scene reconstruction
- multi view clustering
- camera calibration
- surface reconstruction
- co training
- multi view reconstruction
- training data
- visual hull
- multiple viewpoints
- range images
- multi view learning
- light field
- depth video
- multi view images
- view synthesis
- machine learning
- depth information
- d scene