← Search

Feihong Lian

1 accepted papers

2021

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation

CVPR 2021poster

Panoptic segmentation aims to partition an image to object instances and semantic content for thing and stuff categories, respectively. To date, learning weakly supervised panoptic segmentation (WSPS) with only image-level labels remains unexplored. In this paper, we propose an efficient jointly thi…

Cited by 19PDFScholar