Invariance encoding in sliced-Wasserstein space for image classification with limited training data.
Mohammad Shifat-E.-RabbiYan ZhuangShiying LiAbu Hasnat Mohammad RubaiyatXuwang YinGustavo K. RohdePublished in: CoRR (2022)
Keyphrases
- image classification
- training data
- low dimensional
- bag of words
- codebook generation
- test data
- test set
- data sets
- supervised learning
- image representation
- training instances
- discriminative power
- decision trees
- prior knowledge
- search space
- video sequences
- classification accuracy
- sparse coding
- computer vision
- spatial pyramid
- fractal image compression
- pointwise
- feature extraction
- training dataset
- invariant features
- generalization error
- space time
- training examples
- active learning
- visual features
- domain knowledge