Compact bilinear pooling via kernelized random projection for fine-grained image categorization on low computational power devices.
Daniel López SánchezAngélica González ArrietaJuan M. CorchadoPublished in: Neurocomputing (2020)
Keyphrases
- fine grained
- computational power
- image categorization
- random projections
- parallel processing
- coarse grained
- multiple instance learning
- visual features
- dimensionality reduction
- dimension reduction
- random sampling
- access control
- image reconstruction
- original data
- memory requirements
- sparse representation
- high dimensionality
- principal component analysis
- image descriptors
- singular value decomposition
- hash functions
- feature selection
- information retrieval
- probabilistic model
- high dimensional
- object recognition
- database systems
- decision trees
- image processing