VisionISP: an Image Processing Pipeline for Computer Vision Applications

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Our recently published paper:
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications (ICIP 2019)

Our earlier paper which explains the algorithm we use to tune the denoiser:
Automatic ISP Image Quality Tuning Using Nonlinear Optimization
  1. Leo Isikdogan
  2. image processing
  3. computer vision
  4. machine learning
  5. deep learning
  6. image processing projects
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It look like interesting. I have question. Could you explain the Trainable Vision Scaler. What is the ground truth for training. Because in the paper. Your TVS is better than bilinear scaling. However TVS is sounds like basically cnn. Which means there is ground truth. and How can we make those ground truth and is it work well in any other computer vision task?

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