Metric: RQth (higher is better)
| # | 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 |