Can Exposure, Noise and Compression Affect Image Recognition? An Assessment of the Impacts on State-of-the-Art ConvNets.
Cristiano Rafael SteffensLucas Ricardo Vieira MessiasPaulo Lilles Jorge Drews JuniorSilvia Silva da Costa BotelhoPublished in: LARS/SBR/WRE (2019)
Keyphrases
- image recognition
- feed forward
- image classification
- noisy data
- noise level
- face recognition
- pattern recognition
- image processing
- data compression
- image compression
- compression algorithm
- signal to noise ratio
- quantization noise
- neural network
- tchebichef moments
- additive noise
- compression scheme
- missing data
- multi instance learning
- back propagation
- semi supervised learning
- image analysis
- image retrieval
- object recognition
- data mining