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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
universal style transfer
biblio
Improving Style Transfer with Calibrated Metrics
Submitted by aekwall on Mon, 02/01/2021 - 11:45am
content image
universal style transfer
transferred image
style weights
quantitative evaluation procedure
Neural Style Transfer methods
histogram loss
Gatys' loss
Effectiveness statistic measures
EC scores
E statistics
Coherence statistic measures
style image
Coherence
Scalability
neural style transfer
rendering (computer graphics)
Covariance matrices
Predictive Metrics
integrated circuits
statistical analysis
optimisation
standards
calibration
optimization
pubcrawl
Resiliency
biblio
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Submitted by aekwall on Mon, 02/01/2021 - 11:44am
linear embedding loss
compressed models
convolutional filters
deep convolutional neural network models
encoder-decoder based neural style transfer
encoder-decoder pairs
exclusive collaborative relationship
feature size mismatch
knowledge distillation method
leverage rich representations
collaborative distillation
student network
style transfer models
trained models
ultra-resolution images
ultra-resolution universal style transfer
universal style transfer
universal style transfer methods
VGG-19
Image coding
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
Decoding
convolutional neural nets
optimisation
data compression
Scalability
collaboration
Image resolution
Predictive Metrics
Knowledge engineering
encoding
graphics processing units
Image reconstruction
neural style transfer
