Robust Vision Challenge

Robust Vision Challenge 2022

The increasing availability of large annotated datasets such as Middlebury, PASCAL VOC, ImageNet, MS COCO, KITTI and Cityscapes has lead to tremendous progress in computer vision and machine learning over the last decade. Public leaderboards make it easy to track the state-of-the-art in the field by comparing the results of dozens of methods side-by-side. While steady progress is made on each individual dataset, many of them are limited to specific domains. KITTI, for example, focuses on real-world urban driving scenarios, while Middlebury considers indoor scenes. Consequently, methods that are state-of-the-art on one dataset often perform worse on a different one or require substantial adaptation of the model parameters.

The goal of this challenge is to foster the development of vision systems that are robust and consequently perform well on a variety of datasets with different characteristics. Towards this goal, we propose the Robust Vision Challenge, where performance on several tasks (eg, reconstruction, optical flow, semantic/instance segmentation, single image depth prediction) is measured across a number of challenging benchmarks with different characteristics, e.g., indoors vs. outdoors, real vs. synthetic, sunny vs. bad weather, different sensors. We encourage submissions of novel algorithms, techniques which are currently in review and methods that have already been published.

Questions? Please see the Submit Results page for anwsers regarding the RVC rules.


Prizes for winner and the runner-up of each of the seven challenges:

1st Place: TBD

2nd Place: TBD

Presentation at our
ECCV 2022 Workshop

Invitation to publish in our
IJCV Special Issue

Challenges

RVC 2022 features five challenges: stereo, optical flow, single image depth prediction, object detection, and semantic segmentation. Participants are free to submit to a single challenge or to multiple challenges. For each challenge, the results of a single model has to be submitted to all benchmarks (indicated with an x below).

Stereo
Flow
Depth
Obj. Det.
Semantic

Important Dates

May 16, 2022 Training data and development kit will be released
July 1, 2022 RVC Submission system will be online
October 3, 2022 Submission deadline (18h00 UTC+2)
October 14, 2022 Report deadline (23h59 UTC+2)
October 23, 2022 (date not final; 23. or 24. possible) Robust Vision Challenge 2022 Workshop at ECCV 2022 (Hybrid Fullday)



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