Panoptic Segmentation on Mapillary val

Metric: PQ (higher is better)

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#	Model↕	PQ▼	Extra Data	Paper	Date↕	Code
1	OneFormer (DiNAT-L, single-scale)	46.7	No	OneFormer: One Transformer to Rule Universal Ima...	2022-11-10	Code
2	OneFormer (ConvNeXt-L, single-scale)	46.4	No	OneFormer: One Transformer to Rule Universal Ima...	2022-11-10	Code
3	Panoptic FCN* (Swin-L, single-scale)	45.7	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code
4	Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)	44.8	No	Scaling Wide Residual Networks for Panoptic Segm...	2020-11-23	-
5	Mask2Former + Intra-Batch Supervision (ResNet-50)	42.2	No	Intra-Batch Supervision for Panoptic Segmentatio...	2023-04-17	Code
6	Axial-DeepLab-L (multi-scale)	41.1	No	Axial-DeepLab: Stand-Alone Axial-Attention for P...	2020-03-17	Code
7	EfficientPS	40.6	No	EfficientPS: Efficient Panoptic Segmentation	2020-04-05	Code
8	Panoptic-DeepLab (X71)	40.5	No	Panoptic-DeepLab: A Simple, Strong, and Fast Bas...	2019-11-22	Code
9	AdaptIS (ResNeXt-101)	40.3	No	AdaptIS: Adaptive Instance Selection Network	2019-09-17	-
10	Panoptic FCN* (ResNet-FPN)	36.9	No	Fully Convolutional Networks for Panoptic Segmen...	2020-12-01	Code
11	JSIS-Net (ResNet-50)	17.6	No	Panoptic Segmentation with a Joint Semantic and ...	2018-09-06	-
12	HRNet-OCR (Hierarchical Multi-Scale Attention)	17.6	No	Hierarchical Multi-Scale Attention for Semantic ...	2020-05-21	Code

#1OneFormer (DiNAT-L, single-scale)SOTA
46.7
PQ· 2022-11-10
OneFormer: One Transformer to Rule Universal Image Segmentation Code
#2OneFormer (ConvNeXt-L, single-scale)
46.4
PQ· 2022-11-10
OneFormer: One Transformer to Rule Universal Image Segmentation Code
#3Panoptic FCN* (Swin-L, single-scale)SOTA
45.7
PQ· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code
#4Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)SOTA
44.8
PQ· 2020-11-23
Scaling Wide Residual Networks for Panoptic Segmentation
#5Mask2Former + Intra-Batch Supervision (ResNet-50)
42.2
PQ· 2023-04-17
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images Code
#6Axial-DeepLab-L (multi-scale)SOTA
41.1
PQ· 2020-03-17
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Code
#7EfficientPS
40.6
PQ· 2020-04-05
EfficientPS: Efficient Panoptic Segmentation Code
#8Panoptic-DeepLab (X71)SOTA
40.5
PQ· 2019-11-22
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation Code
#9AdaptIS (ResNeXt-101)SOTA
40.3
PQ· 2019-09-17
AdaptIS: Adaptive Instance Selection Network
#10Panoptic FCN* (ResNet-FPN)
36.9
PQ· 2020-12-01
Fully Convolutional Networks for Panoptic Segmentation Code
#11JSIS-Net (ResNet-50)SOTA
17.6
PQ· 2018-09-06
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network
#12HRNet-OCR (Hierarchical Multi-Scale Attention)
17.6
PQ· 2020-05-21
Hierarchical Multi-Scale Attention for Semantic Segmentation Code