Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
Hugo Caselles-DupréMichaël Garcia OrtizDavid FilliatPublished in: CoRR (2021)
Keyphrases
- object segmentation
- image segmentation
- segmentation algorithm
- segmentation accuracy
- learning process
- shape prior
- graph cuts
- learning algorithm
- segmentation method
- prior knowledge
- object categories
- object detection
- parameter estimation
- superpixels
- feature vectors
- supervised learning
- statistical models
- probabilistic model
- image classification
- co occurrence
- object classes
- multiscale
- active learning