10-shot image generation on Mapillary val

Metric: PQst (higher is better)

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#	Model↕	PQst▼	Extra Data	Paper	Date↕	Code
1	OneFormer (DiNAT-L, single-scale)	54.9	No	OneFormer: One Transformer to Rule Universal Ima...	2022-11-10	Code
2	OneFormer (ConvNeXt-L, single-scale)	54	No	OneFormer: One Transformer to Rule Universal Ima...	2022-11-10	Code
3	Panoptic FCN* (Swin-L, single-scale)	52.1	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code
4	Mask2Former + Intra-Batch Supervision (ResNet-50)	52	No	Intra-Batch Supervision for Panoptic Segmentatio...	2023-04-17	Code
5	Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)	51.9	No	Scaling Wide Residual Networks for Panoptic Segm...	2020-11-23	-
6	Axial-DeepLab-L (multi-scale)	51.3	No	Axial-DeepLab: Stand-Alone Axial-Attention for P...	2020-03-17	Code
7	Panoptic FCN* (ResNet-50-FPN)	42.3	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code

#1OneFormer (DiNAT-L, single-scale)SOTA
54.9
PQst· 2022-11-10
OneFormer: One Transformer to Rule Universal Image Segmentation Code
#2OneFormer (ConvNeXt-L, single-scale)
54
PQst· 2022-11-10
OneFormer: One Transformer to Rule Universal Image Segmentation Code
#3Panoptic FCN* (Swin-L, single-scale)SOTA
52.1
PQst· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code
#4Mask2Former + Intra-Batch Supervision (ResNet-50)
52
PQst· 2023-04-17
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images Code
#5Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)SOTA
51.9
PQst· 2020-11-23
Scaling Wide Residual Networks for Panoptic Segmentation
#6Axial-DeepLab-L (multi-scale)SOTA
51.3
PQst· 2020-03-17
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Code
#7Panoptic FCN* (ResNet-50-FPN)
42.3
PQst· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code