Metric: SQ (higher is better)
| # | Model↕ | SQ▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Panoptic FCN* (Swin-L, single-scale) | 83.2 | No | Fully Convolutional Networks for Panoptic Segmen... | 2020-12-01 | Code |
| 2 | MaskFormer (single-scale) | 81.8 | No | Per-Pixel Classification is Not All You Need for... | 2021-07-13 | Code |
| 3 | Panoptic FCN* (ResNet-50-FPN) | 80.7 | No | Fully Convolutional Networks for Panoptic Segmen... | 2020-12-01 | Code |
| 4 | DETR-R101 (ResNet-101) | 79.9 | No | End-to-End Object Detection with Transformers | 2020-05-26 | Code |
| 5 | PanopticFPN++ | 79.5 | No | End-to-End Object Detection with Transformers | 2020-05-26 | Code |