Semantic Segmentation on ADE20K 38 (val)
49.1mIoUPlainMamba-L3
Evaluation Results
| Method | Links | |
|---|---|---|
| PlainMamba-L3Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.09 | 49.1 | |
| PlainMamba-L3-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.09 | 48.6 | |
| PlainMamba-L2Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.09 | 46.8 | |
| PlainMamba-L2-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.09 | 46.5 | |
| LocalVim-SBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.09 | 46.4 | |
| PlainMamba-L3-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.09 | 46.3 | |
| ViM-SBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.09 | 44.9 | |
| PlainMamba-L1Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.09 | 44.1 | |
| PlainMamba-L2-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.09 | 44.1 | |
| PlainMamba-L1-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.09 | 44.1 | |
| LocalVim-TBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.09 | 43.4 | |
| PlainMamba-L1-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.09 | 42.2 | |
| ViM-TBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.09 | 41 |