- Deadline for extended abstract submissions: 25th of July 2018
- Acceptance notification: 1st of August 2018
- Workshop: 14th of September 2018
Learning algorithms are the backbone of computer vision research and still focused on training from large amounts of already annotated data. The limitations we are currently observing in many applications are mostly due to the lack of annotations or changing data distributions over time. To overcome these barriers, the annotation and learning of models needs to be coupled strongly through human-machine interaction. Furthermore, models need to adapt as needed to handle either shifts or completely novel data. The goal of this workshop is to discuss and present the advances in technologies that support annotation, model learning through expert guidance and continuous model adaptation.
The abstract will not appear in any proceedings and if accepted only appear online on this page (if authors like). Our workshop is not meant as a publication venue, but rather a real meeting, where you learn about people interested in the same area and find the next cooperation partners for your future project.
Accepted abstracts will be presented in a quick teaser or poster. We also welcome submissions of industrial partners interested in the topic and willing to present their application area. Furthermore, if you want to present your next proposal idea and you are looking for cooperation partners, you are also very much invited to submit an abstract.