Panoptic Segmentation on ADE20K 15 (val)
51.5PQOneFormer
Evaluation Results
| Method | Links | |
|---|---|---|
| OneFormerBackbone=DINAT-L, #Params=223M, Crop Size=1280x1280, Extra Data=false, Training Protocol=Joint Training2022.11 | 51.5 | |
| OneFormerBackbone=Swin-L, #Params=219M, Crop Size=1280x1280, Extra Data=false, Training Protocol=Joint Training2022.11 | 51.4 | |
| OneFormerBackbone=DINAT-L, #Params=223M, Crop Size=896x896, Extra Data=false, Training Protocol=Joint Training2022.11 | 51.2 | |
| OneFormerBackbone=Swin-L, #Params=219M, Crop Size=896x896, Extra Data=false, Training Protocol=Joint Training2022.11 | 51.1 | |
| kMaX-DeepLabBackbone=ConvNeXt-L, #Params=232M, Crop Size=1281x1281, Extra Data=false, Training Protocol=Individual Training2022.11 | 50.9 | |
| OneFormerBackbone=DINAT-L, #Params=223M, Crop Size=640x640, Extra Data=false, Training Protocol=Joint Training2022.11 | 50.5 | |
| OneFormerBackbone=ConvNeXt-XL, #Params=372M, Crop Size=640x640, Extra Data=false, Training Protocol=Joint Training2022.11 | 50.1 | |
| OneFormerBackbone=ConvNeXt-L, #Params=220M, Crop Size=640x640, Extra Data=false, Training Protocol=Joint Training2022.11 | 50 | |
| OneFormerBackbone=Swin-L, #Params=219M, Crop Size=640x640, Extra Data=false, Training Protocol=Joint Training2022.11 | 49.8 | |
| kMaX-DeepLabBackbone=ConvNeXt-L†, #Params=232M, Crop Size=641x641, Extra Data=false, Training Protocol=Individual Training2022.11 | 48.7 | |
| Mask2Former-PanopticBackbone=Swin-L, #Params=216M, Crop Size=640x640, Extra Data=false, Training Protocol=Individual Training2022.11 | 48.1 |