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ResearchFormerly WizWand

Semantic Segmentation on ADE20K 38 (val)

49.1mIoUPlainMamba-L3
40.67642.86345.0547.237Sep 27, 2024
Updated 8mo ago

Evaluation results

MethodLinks
PlainMamba-L3Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.0949.1
PlainMamba-L3-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.0948.6
PlainMamba-L2Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.0946.8
PlainMamba-L2-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.0946.5
LocalVim-SBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.0946.4
PlainMamba-L3-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.0946.3
ViM-SBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.0944.9
PlainMamba-L1Base framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Unpruned2024.0944.1
PlainMamba-L2-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.0944.1
PlainMamba-L1-pruneBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=Proposed Pruning2024.0944.1
LocalVim-TBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.0943.4
PlainMamba-L1-EViTBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x512, Strategy=EViT pruning2024.0942.2
ViM-TBase framework=UperNet, Training iterations=160, Batch size=16, Training image size=512x5122024.0941