Panoptic Segmentation on COCO minival

Metric: RQth (higher is better)

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#	Model↕	RQth▼	Extra Data	Paper	Date↕	Code
1	Panoptic FCN* (Swin-L, single-scale)	68.6	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code
2	DETR-R101 (ResNet-101)	61.7	No	End-to-End Object Detection with Transformers	2020-05-26	Code
3	PanopticFPN++	60.6	No	End-to-End Object Detection with Transformers	2020-05-26	Code
4	Panoptic FCN* (ResNet-50-FPN)	59.3	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code

#1Panoptic FCN* (Swin-L, single-scale)SOTA
68.6
RQth· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code
#2DETR-R101 (ResNet-101)SOTA
61.7
RQth· 2020-05-26
End-to-End Object Detection with Transformers Code
#3PanopticFPN++
60.6
RQth· 2020-05-26
End-to-End Object Detection with Transformers Code
#4Panoptic FCN* (ResNet-50-FPN)
59.3
RQth· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code