SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding.
Hermann BlumMarcus Gerhard MüllerAbel GawelRoland SiegwartCesar CadenaPublished in: ISRR (2022)
Keyphrases
- scene understanding
- open world
- object detection
- object recognition
- simultaneous clustering
- vision system
- d scene
- closed world
- video surveillance
- incomplete information
- semantic information
- semantic web
- bayesian networks
- clustering algorithm
- rows and columns
- data matrix
- knowledge base
- generative model
- unsupervised learning
- data sets
- supervised learning
- semi supervised
- knn
- high quality
- feature selection
- computer vision