Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection.
Di FengZining WangYiyang ZhouLars RosenbaumFabian TimmKlaus DietmayerMasayoshi TomizukaWei ZhanPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- object detection
- spatial data
- scene recognition
- spatial and temporal
- object classification
- computer vision
- object categories
- spatial information
- pairwise
- face detection
- spatial reasoning
- uncertain data
- spatio temporal
- class labels
- training data
- spatial databases
- inherent uncertainty
- neural network
- training examples
- decision theory
- spatial objects
- spatial distribution
- feature selection
- object class
- geographic information systems
- pedestrian detection
- space time
- face recognition
- background subtraction
- multi label