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| Models: | |
| - Name: fpn_poolformer_s12_8xb4-40k_ade20k-512x512 | |
| In Collection: FPN | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 36.68 | |
| Config: configs/poolformer/fpn_poolformer_s12_8xb4-40k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 32 | |
| Architecture: | |
| - PoolFormer-S12 | |
| - FPN | |
| Training Resources: 8x V100 GPUS | |
| Memory (GB): 4.17 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s12_8x4_512x512_40k_ade20k/fpn_poolformer_s12_8x4_512x512_40k_ade20k_20220501_115154-b5aa2f49.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s12_8x4_512x512_40k_ade20k/fpn_poolformer_s12_8x4_512x512_40k_ade20k_20220501_115154.log.json | |
| Paper: | |
| Title: MetaFormer is Actually What You Need for Vision | |
| URL: https://arxiv.org/abs/2111.11418 | |
| Code: https://github.com/open-mmlab/mmclassification/blob/v0.23.0/mmcls/models/backbones/poolformer.py#L198 | |
| Framework: PyTorch | |
| - Name: fpn_poolformer_s24_8xb4-40k_ade20k-512x512 | |
| In Collection: FPN | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 40.12 | |
| Config: configs/poolformer/fpn_poolformer_s24_8xb4-40k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 32 | |
| Architecture: | |
| - PoolFormer-S24 | |
| - FPN | |
| Training Resources: 8x V100 GPUS | |
| Memory (GB): 5.47 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s24_8x4_512x512_40k_ade20k/fpn_poolformer_s24_8x4_512x512_40k_ade20k_20220503_222049-394a7cf7.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s24_8x4_512x512_40k_ade20k/fpn_poolformer_s24_8x4_512x512_40k_ade20k_20220503_222049.log.json | |
| Paper: | |
| Title: MetaFormer is Actually What You Need for Vision | |
| URL: https://arxiv.org/abs/2111.11418 | |
| Code: https://github.com/open-mmlab/mmclassification/blob/v0.23.0/mmcls/models/backbones/poolformer.py#L198 | |
| Framework: PyTorch | |
| - Name: fpn_poolformer_s36_8xb4-40k_ade20k-512x512 | |
| In Collection: FPN | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 41.61 | |
| Config: configs/poolformer/fpn_poolformer_s36_8xb4-40k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 32 | |
| Architecture: | |
| - PoolFormer-S36 | |
| - FPN | |
| Training Resources: 8x V100 GPUS | |
| Memory (GB): 6.77 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s36_8x4_512x512_40k_ade20k/fpn_poolformer_s36_8x4_512x512_40k_ade20k_20220501_151122-b47e607d.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_s36_8x4_512x512_40k_ade20k/fpn_poolformer_s36_8x4_512x512_40k_ade20k_20220501_151122.log.json | |
| Paper: | |
| Title: MetaFormer is Actually What You Need for Vision | |
| URL: https://arxiv.org/abs/2111.11418 | |
| Code: https://github.com/open-mmlab/mmclassification/blob/v0.23.0/mmcls/models/backbones/poolformer.py#L198 | |
| Framework: PyTorch | |
| - Name: fpn_poolformer_m36_8xb4-40k_ade20k-512x512 | |
| In Collection: FPN | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 41.95 | |
| Config: configs/poolformer/fpn_poolformer_m36_8xb4-40k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 32 | |
| Architecture: | |
| - PoolFormer-M36 | |
| - FPN | |
| Training Resources: 8x V100 GPUS | |
| Memory (GB): 8.59 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m36_8x4_512x512_40k_ade20k/fpn_poolformer_m36_8x4_512x512_40k_ade20k_20220501_164230-3dc83921.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m36_8x4_512x512_40k_ade20k/fpn_poolformer_m36_8x4_512x512_40k_ade20k_20220501_164230.log.json | |
| Paper: | |
| Title: MetaFormer is Actually What You Need for Vision | |
| URL: https://arxiv.org/abs/2111.11418 | |
| Code: https://github.com/open-mmlab/mmclassification/blob/v0.23.0/mmcls/models/backbones/poolformer.py#L198 | |
| Framework: PyTorch | |
| - Name: fpn_poolformer_m48_8xb4-40k_ade20k-512x512 | |
| In Collection: FPN | |
| Results: | |
| Task: Semantic Segmentation | |
| Dataset: ADE20K | |
| Metrics: | |
| mIoU: 42.43 | |
| Config: configs/poolformer/fpn_poolformer_m48_8xb4-40k_ade20k-512x512.py | |
| Metadata: | |
| Training Data: ADE20K | |
| Batch Size: 32 | |
| Architecture: | |
| - PoolFormer-M48 | |
| - FPN | |
| Training Resources: 8x V100 GPUS | |
| Memory (GB): 10.48 | |
| Weights: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m48_8x4_512x512_40k_ade20k/fpn_poolformer_m48_8x4_512x512_40k_ade20k_20220504_003923-64168d3b.pth | |
| Training log: https://download.openmmlab.com/mmsegmentation/v0.5/poolformer/fpn_poolformer_m48_8x4_512x512_40k_ade20k/fpn_poolformer_m48_8x4_512x512_40k_ade20k_20220504_003923.log.json | |
| Paper: | |
| Title: MetaFormer is Actually What You Need for Vision | |
| URL: https://arxiv.org/abs/2111.11418 | |
| Code: https://github.com/open-mmlab/mmclassification/blob/v0.23.0/mmcls/models/backbones/poolformer.py#L198 | |
| Framework: PyTorch | |