Detecting Anomalies in Semantic Segmentation With Prototypes.
Dario FontanelFabio CermelliMassimiliano ManciniBarbara CaputoPublished in: CVPR Workshops (2021)
Keyphrases
- semantic segmentation
- detecting anomalies
- anomaly detection
- conditional random fields
- superpixels
- scene classification
- data mining applications
- abnormal events
- label transfer
- weakly supervised
- object categories
- object classes
- object class
- pascal voc
- object detection
- training set
- image set
- image classification
- image understanding
- object recognition
- machine learning
- bag of words
- higher order
- bayesian networks
- decision trees