Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time.
Michael FürstPriyash BhugraRené SchusterDidier StrickerPublished in: CoRR (2022)
Keyphrases
- object detection
- object segmentation
- image parsing
- object localization
- detecting objects
- temporal data
- complex objects
- d objects
- temporal constraints
- spatio temporal
- temporal information
- object class
- object detectors
- bayesian framework
- background clutter
- bayesian networks
- object model
- category level
- background subtraction
- contextual cues
- moving objects
- spatial and temporal
- face detection
- prior knowledge
- scene understanding
- temporal databases
- bayesian model
- dirichlet process
- computer vision
- object detection and pose estimation
- target object
- multiple objects
- bayesian inference
- spatial relationships
- prior information
- maximum likelihood
- markov random field