Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions.
Yuhang ChenChih-Hong ChengJun YanRongjie YanPublished in: IROS (2021)
Keyphrases
- input data
- noisy data
- object detection
- data collection
- learning algorithm
- dynamic programming
- data sets
- search space
- np hard
- detection algorithm
- knowledge discovery
- synthetic datasets
- data reduction
- optimal solution
- preprocessing
- computer vision
- data distribution
- label information
- labeling process
- data points
- data sources
- computational complexity
- training data
- multi class
- probabilistic model
- expectation maximization
- clustering method
- k means
- data analysis
- object recognition
- image segmentation