Lecture
Sails Lunch Time Seminar Daan Pelt
- Date
- Monday 10 October 2022
- Time
- Address
- online only
Optimizing manual annotation for producing training data in deep learning
State-of-the-art deep learning techniques such as convolutional neural networks tend to require large amounts of training data to be able to perform the required task accurately. In scientific imaging problems, this training data is often obtained through manual annotation of relevant data by a human domain expert. This process typically requires expert domain knowledge, and is often time-consuming, tedious, subjective, and prone to errors. These challenges can lead to inaccurate trained networks and high costs for producing training data. Therefore, a current active field of research is to develop techniques to (1) limit the amount of required manual annotation, (2) improve the reliability of manual annotations, and (3) reducing the impact of inconsistencies in the annotations. In this talk, I will highlight a few recent results for this goal of optimizing manual annotation for producing training data.
Join us!
The SAILS Lunch Time Seminar is an online event, but it is not publicly accessible in real-time. If you would like to join this seminar, please send an email to sails@liacs.leidenuniv.nl to receive a link.