On Quantization of Image Classification Neural Networks for Compression Without Retraining.
Marcos ToninRicardo L. de QueirozPublished in: ICIP (2022)
Keyphrases
- image classification
- neural network
- quantization noise
- lossy image compression
- efficient compression
- compression algorithm
- pattern recognition
- image compression
- image representation
- uniform quantization
- bag of words
- data compression
- transform coding
- back propagation
- neural network model
- compression scheme
- feature extraction
- adaptive quantization
- artificial neural networks
- bits per pixel
- entropy coding
- quantization error
- fuzzy logic
- computational complexity
- sparse coding
- sparse representation
- lossy compression
- visual words
- image quality
- feed forward
- quantization scheme
- huffman coding
- image coding
- genetic algorithm
- multilayer perceptron
- block coding
- lossless compression
- class specific
- multi layer