Deep Active Learning
Research RoadMap:
- Identify the technical challenges when combining Active learning and Deep learning
Berlin Proposal
- Identity the preprocessing steps and models for Additive Manufacturing images
- Obtain at the end scripts for DAL framework that can be used for use cases.
Post-Berlin
- Experiments on update vs from scratch training
- Explore the Explainable Active Learning (the idea would be to build a toolbox for it and then adapt it for a type of interesting dataset that we want to explore)