Semantic Segmentation on COCO closed-vocabulary
68.3mIoUOpenSD
Evaluation results
| Method | Links | |
|---|---|---|
| OpenSDTraining Data=COCO, Backbone=Swin-L2023.12 | 68.3 | |
| OpenSeeDTraining Data=COCO, Backbone=Swin-L2023.12 | 67.6 | |
| X-DecoderTraining Data=COCO+ITP, Backbone=Swin-L2023.12 | 67.5 | |
| Mask2formerTraining Data=COCO, Backbone=Swin-L2023.12 | 67.4 | |
| OpenSDTraining Data=COCO+O365, Backbone=Swin-T2023.12 | 64.8 | |
| OpenSDTraining Data=COCO, Backbone=Swin-T2023.12 | 64 | |
| OpenSeeDTraining Data=COCO+O365, Backbone=Swin-T2023.12 | 63.7 | |
| Mask2formerTraining Data=COCO, Backbone=Swin-T2023.12 | 63.2 | |
| X-DecoderTraining Data=COCO+ITP, Backbone=Swin-T2023.12 | 62.4 | |
| OpenSeeDTraining Data=COCO, Backbone=Swin-T2023.12 | 62.1 | |
| OpenSDTraining Data=COCO, Backbone=R502023.12 | 62 | |
| OpenSDTraining Data=COCO+O365, Backbone=R502023.12 | 62 | |
| Mask2formerTraining Data=COCO, Backbone=R502023.12 | 61.7 | |
| SEEMTraining Data=COCO, Backbone=Swin-T2023.12 | 61.2 | |
| HIPIETraining Data=COCO+O365, Backbone=R502023.12 | 59.5 | |
| ODISETraining Data=COCO, Backbone=ViT-H2023.12 | 52.4 |