You're currently viewing an old version of this dataset. To see the current version, click here.

COCO panoptic validation set

Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using post-processing layers. Recent works unify both segmentation tasks by producing binary masks and class scores for both things and stuff classes.

Data and Resources

This dataset has no data

Cite this as

Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li (2024). Dataset: COCO panoptic validation set. https://doi.org/10.57702/4r1r0laq

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2312.06052
Author Abdullah Rashwan
More Authors
Jiageng Zhang
Ali Taalimi
Fan Yang
Xingyi Zhou
Chaochao Yan
Liang-Chieh Chen
Yeqing Li
Homepage https://cocodataset.org/