Deep Neural Network Compression for Image Classification and Object Detection.
Georgios TzelepisAhraz AsifSaimir BaciSelcuk CavdarEren Erdal AksoyPublished in: ICMLA (2019)
Keyphrases
- image classification
- object detection
- neural network
- image representation
- computer vision
- bag of words
- feature extraction
- compression ratio
- data compression
- compression scheme
- visual features
- face detection
- back propagation
- neural network model
- neural network is trained
- multi class
- image features
- artificial neural networks
- image compression
- object recognition
- sparse representation
- fuzzy logic
- background subtraction
- visual words
- object categories
- object class
- deformable part models
- class specific
- scene recognition
- pedestrian detection
- compression algorithm
- pattern recognition
- neural nets
- multilayer perceptron
- multi layer
- sparse coding
- object classification
- scene understanding
- visual recognition
- bag of features
- radial basis function
- knn
- learning vector quantization
- fuzzy artmap
- training data