Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
VGG-19
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
