Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias.
William ThongCees SnoekPublished in: BMVC (2021)
Keyphrases
- image features
- labeled images
- image data
- input image
- semantic labels
- feature extractor
- multiscale
- image retrieval
- feature values
- single image
- image content
- feature set
- feature histograms
- image segmentation
- class labels
- image classification
- image representation
- feature vectors
- classifier training
- multiple features
- image regions
- feature descriptors
- segmentation method
- binary images
- support vector
- unlabeled images
- similarity measure
- labeling process
- complementary features
- decision trees
- support vector machine
- object categories
- learning algorithm
- training data
- highly discriminative