Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification.
Matthias RottmannMarco ReesePublished in: WACV (2023)
Keyphrases
- deep learning
- automated detection
- semantic segmentation
- weakly supervised
- pascal voc
- object detection
- superpixels
- bag of words
- unsupervised learning
- semi supervised
- object class
- object recognition
- object categories
- conditional random fields
- relation extraction
- machine learning
- named entities
- object segmentation
- multi label
- segmentation algorithm
- computer vision
- segmentation method
- bounding box
- image representation
- natural images
- knowledge discovery
- data analysis
- multiscale
- image segmentation