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Read-only archive of site from September 29, 2023.

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feature size mismatch

biblio

Visible to the public 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

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