RobMOTS: The Ultimate Tracking and Video Segmentation Challenge at CVPR21. Call for Papers

RobMOTS Challenge:

RobMOTS: The Ultimate Tracking and Video Segmentation Challenge at CVPR’21. 

Eight different tracking and video segmentation benchmarks are teaming
up to create a Challenge and Workshop which combines all 8 tracking
benchmarks in one robust challenge.

The RobMOTS Challenge
(https://eval.vision.rwth-aachen.de/rvsu-workshop21/?page_id=110
) is a
challenge similar to many previous tracking and video
challenges. However, here trackers are evaluated robustly across 8
different datasets, including KITTI, Waymo, BDD100K, MOT Challenge,
TAO, YouTube-VIS, OVIS and DAVIS.

The deadline for this is June 11. In around 4 weeks.

If you have previously submitted to any of these 8 benchmarks, we
HIGHLY recommend you submit your methods to the RobMOTS challenge. Can
you improve your methods, make them generalize to multiple datasets
and 80 different classes, and maybe even take the first place prize?

We hope that by supplying a strong set of supplied detections, it is
easy for you to adapt your current Tracking and Video Segmentation
methods to this new and exciting RobMOTS Challenge.