Table 7.
Semantic segmentation results of different backbones on the ADE20K validation set
| Backbone | Semantic FPN125 |
UperNet123 |
||||
|---|---|---|---|---|---|---|
| Params | FLOPs | mIoU (%) | Params | FLOPs | mIoU (%) | |
| CNN based | ||||||
| ResNet10197 | 47.5M | 260G | 38.8 | 86M | 1029G | 44.9 |
| ResNeXt101126 | 86.4M | – | 40.2 | – | – | – |
| VAN-large105 | 49.0M | – | 48.1 | 75M | – | 50.1 |
| ConvNeXt-XL104 | – | – | – | 391M | 3335G | 54.0 |
| RepLKNet-XL108 | – | – | – | 374M | 3431G | 56.0 |
| Transformer based | ||||||
| PVT-medium112 | 48.0M | 219G | 41.6 | – | – | – |
| Swin-B49 | 53.2M | 274G | 45.2 | 121M | 1188G | 49.7 |
| CSWin-B115 | 81.2M | 464G | 49.9∗ | 109.2M | 1222G | 52.2 |
| BEiT-L127 | – | – | – | – | – | 57.0 |
| SwinV2-G117 | – | – | – | – | – | 59.9∗ |
| MLP based | ||||||
| MorphMLP-B77 | 59.3M | – | 45.9 | – | – | – |
| CycleMLP-B583 | 79.4M | 343G | 45.6 | – | – | – |
| Wave-MLP-M76 | 43.3M | 231G | 46.8 | – | – | – |
| AS-MLP-B80 | – | – | – | 121M | 1166G | 49.5 |
| HireMLP-L86 | – | – | – | 127M | 1125G | 49.9 |
| MS-MLP-B87 | – | – | – | 122M | 1172G | 49.9 |
| ActiveMLP-L85 | 79.8M | – | 48.1 | 108M | 1106G | 51.1 |