Reading: RCAN+PRN+ — Ensemble Learning of Neural Networks (VVC Filtering)

Various Types of Model Ensemble, Bring Additional Performance Gain.

Compression Artifact Removal With Ensemble Learning of Neural Networks

Outline

1. What is Ensemble Learning?

1.1. Majority Vote

Majority Vote

1.2. Soft Voting

Soft Voting

1.3. Example in CNN — LeNet

Boosted LeNet-4

2. RCAN and PRN+

2.1. RCAN

2.2. PRN+

3. Experimental Results

3.1. Settings

3.2. QP-Driven Ensemble

PRN+ models trained using images encoded with different QPs

3.3. MSE-Driven Ensemble

RCAN models trained using images with different MSE values

3.4. Image-Set-Driven Ensemble

PRN+ models trained using different image sets

3.5. Ensemble of Different Architectures

Ensemble of Different Architectures
Ensemble of Different Architectures Using Different Patch Sizes

PhD, Researcher. I share what I've learnt and done. :) My LinkedIn: https://www.linkedin.com/in/sh-tsang/, My Paper Reading List: https://bit.ly/33TDhxG