davischallenge.org - DAVIS: Densely Annotated VIdeo Segmentation

Description: DAVIS, Densely Annotated VIdeo Segmentation

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The standalone DAVIS initiative is in maintenance mode: we won't be hosting any more DAVIS challenges and we will no longer update the benchmark leaderboards on this page. We have integrated the existing results into paperswithcode and you can enter the results for you latest paper in their corresponding task web pages: Semi-supervised Interactive Unsupervised Also, we will continue running the evaluation servers in Codalab. We would like to thank the community for taking part in the challenges and we encou

Semi-supervised and Unsupervised refer to the level of human interaction at test time , not during the training phase. In Semi-supervised , better called human guided, the segmentation mask for the objects of interest is provided in the first frame. In Unsupervised , better called human non-guided, no human input is provided.

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation S. Caelles , J. Pont-Tuset , F. Perazzi , A. Montes , K.-K. Maninis , and L. Van Gool arXiv:1905.00737, 2019 [ PDF ] [ BibTex ]

Links to davischallenge.org (18)