├── .gitignore
├── README.md
└── figs
    └── querypanseg.jpg


/.gitignore:
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118 | 


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/README.md:
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1 | # QueryPanSeg-ICIP-2022.
2 | 
3 | Query Learning of Both Thing and Stuff for Panoptic Segmentation
4 | 
5 | Our method with ResNet-50 as backbone achieves 45.1 PQ on COCO test-dev and outperforms all previous work using the same backbone but with a much simpler pipeline. Our methods achieves 47.6 PQ when using ResNet-101 as backbone on COCO test-dev which supress many previous state-of-the-art method using complex pipeline.
6 | 
7 | ![Figure](./figs/querypanseg.jpg) 
8 | 
9 | 


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/figs/querypanseg.jpg:
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https://raw.githubusercontent.com/lxtGH/QueryPanSeg/2c420273d0304d90edae95e475f0afc7c508d1c7/figs/querypanseg.jpg


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