Enhancing targeted transferability via feature space fine-tuning.
Hui ZengBiwei ChenAnjie PengPublished in: CoRR (2024)
Keyphrases
- fine tuning
- feature space
- viable alternative
- fine tune
- feature selection
- training samples
- feature vectors
- dimension reduction
- high dimensional
- mean shift
- dimensionality reduction
- image retrieval
- high dimensionality
- hyperplane
- kernel function
- fine tuned
- principal component analysis
- classification accuracy
- input data
- feature set
- dot product
- support vector machine
- data points
- decision trees
- low dimensional
- real world
- information systems
- input space
- feature extraction
- pattern recognition
- training set
- riemannian manifolds
- image processing
- high dimension
- high dimensional feature space
- image features
- artificial intelligence
- nearest neighbor
- neural network