Call for Submissions


The workshop is expected to attract research on self-supervised, semi-supervised and self-training techniques for achieving industry-level autonomous driving solutions, which will cover but are not limited to the following topics:

  • Self-supervised learning techniques
  • Life-long/incremental visual recognition methods
  • Weakly supervised learning algorithms
  • One/few/zero shot learning for perception tasks in self-driving
  • Learning in the presence of noisy data
  • Domain adaptation
  • Weakly supervised learning for 3D Lidar and 2D images
  • Real world self-driving image applications, e.g. lane detection, anomaly detection, object semantic segmentation/detection/localization, scene parsing, etc.
  • Vision-based localization and tracking
  • Safety/explainability/robustness for self-driving cars in the abovementioned settings

We invite high-quality, original (i.e., not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop) submissions. Papers are limited to 14 pages, including figures and tables, in the ECCV style with additional pages containing only cited references being allowed. The paper template of the ECCV 2022 main conference should be used. All the submissions should be anonymous.

Contact: sslad-competition@googlegroups.com

Important Dates

Paper submission deadline: August 10, 2022 (11:59PM PDT)
Author notification: August 18, 2022 (11:59PM PDT)
Camera-ready papers due: August 22, 2022 (11:59PM PDT)

BEST PAPER AWARD

The best paper among these submissions will be selected and announced at the workshop. The decision will be based on the reviewers’ comments, potential impact, and novelty and will be made by the program committee.