Detecting Anomalies in Semantic Segmentation with Prototypes.
Dario FontanelFabio CermelliMassimiliano ManciniBarbara CaputoPublished in: CoRR (2021)
Keyphrases
- detecting anomalies
- semantic segmentation
- anomaly detection
- conditional random fields
- label transfer
- superpixels
- weakly supervised
- data mining applications
- object categories
- scene classification
- abnormal events
- pascal voc
- object class
- image understanding
- object classes
- object recognition
- object detection
- long range
- hidden markov models
- bounding box
- bag of words
- d objects
- viewpoint