Leveraging generative models to characterize the failure conditions of image classifiers.
Adrien Le-CozStéphane HerbinFaouzi AdjedPublished in: AISafety@IJCAI (2022)
Keyphrases
- generative model
- image features
- input image
- probabilistic model
- multiscale
- mixture model
- discriminative learning
- prior knowledge
- image retrieval
- image representation
- support vector
- image segmentation
- image classification
- training data
- training set
- naive bayes
- training examples
- segmentation method
- keypoints
- test images
- discriminative models
- semi supervised
- image matching
- image set
- bounding box
- computer vision
- naive bayes models
- hierarchical hidden markov models