Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization.
Eliott JacopinNaomie BerdaLéa CourteilleWilliam GrisonLucas MathieuAntoine CornuéjolsChristine MartinPublished in: ICAART (2) (2021)
Keyphrases
- unsupervised learning
- spatial relationships
- individual objects
- spatial information
- spatial extent
- image regions
- image database
- bounding box
- spatial correlation
- visual appearance
- input image
- real objects
- spatial frequency
- spatially correlated
- quad trees
- spatial location
- image data
- complex scenes
- multi agent
- multiple objects
- three dimensional
- real world objects
- multiple images
- multi agent systems
- spatial structure
- keypoints
- partial occlusion
- autonomous agents
- spatial layout
- geometric constraints
- segmentation method
- spatial configurations
- object recognition
- moving objects
- image retrieval
- image registration
- feature points
- complex background
- spatial distribution
- multiagent systems
- image pixels
- target object
- test images
- spatial relations
- machine learning
- region features
- d objects
- spatial objects
- image content
- image collections