Explaining Image Classifiers by Removing Input Features Using Generative Models.
Chirag AgarwalAnh NguyenPublished in: ACCV (6) (2020)
Keyphrases
- input features
- generative model
- feature values
- machine learning algorithms
- classification algorithm
- input image
- image content
- multiscale
- feature selection
- image representation
- image retrieval
- image features
- prior knowledge
- conditional random fields
- image classification
- neural network
- data sets
- object recognition
- training data
- image segmentation
- feature subset
- semi supervised
- active learning
- pairwise
- class labels
- spatial information
- support vector
- extracted features
- activation function
- learning algorithm
- discriminative learning