[CfP] Interactive Labeling and Data Augmentation for Vision (ILDAV) Workshop @ ICCV 2021

[Christian Gagné]

First Interactive Labeling and Data Augmentation for Vision (ILDAV) Workshop

Held during the International Conference on Computer Vision (ICCV) 2021

October 11, 2021 (afternoon)

https://ildav-workshop.github.io/

*** Submission deadline: July 27, 2021 ***

The workshop on Interactive Labeling and Data Augmentation for Vision (ILDAV) wishes to address novel ways to solve computer vision problems where large quantities of labeled image data may not be readily available. It is important that datasets of sufficient size can be quickly and cheaply acquired and labeled. More specifically, we are interested in solutions to this problem that make use of (i) few-click and interactive data annotation, where machine learning is used to enhance human annotation skill, (ii) synthetic data generation, where one uses artificially generated data to augment real datasets, and (iii) weak supervision, where auxiliary or weak signals are used instead of (or to complement) manual labels.

More broadly, we aim at fostering a collaboration between academia and industry in terms of leveraging machine learning research and human-in-the-loop, interactive labeling to quickly build datasets that will enable the use of powerful deep models in all problems of computer vision.

The workshop topics include (but are not limited to):
- Interactive and Few-click annotation
- Data augmentation
- Synthetic data for training models
- Weak supervision
- Human-in-the-loop learning

Invited speakers:
- Angela Dai, TU Munich
- Vittorio Ferrari, Google, University of Edinburgh
- Gim Hee Lee, National University of Singapore

Important dates:
- Paper submission deadline: July 27, 2021.
- Notification to authors: August 10, 2021.
- Camera-ready deadline: August 17, 2021.
- Workshop date: October 11, 2021 (afternoon).