COCO panoptic segmentation

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

Cite this as

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

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 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/