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metafile.yml
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Collections:
- Name: Swin-Transformer
Metadata:
Training Data: ImageNet-1k
Training Techniques:
- AdamW
- Weight Decay
Training Resources: 16x V100 GPUs
Epochs: 300
Batch Size: 1024
Architecture:
- Shift Window Multihead Self Attention
Paper:
URL: https://arxiv.org/abs/2103.14030
Title: "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows"
README: configs/swin_transformer/README.md
Code:
URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/swin_transformer.py#L176
Version: v0.15.0
Models:
- Name: swin-tiny_16xb64_in1k
Metadata:
FLOPs: 4360000000
Parameters: 28290000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.18
Top 5 Accuracy: 95.61
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin_tiny_224_b16x64_300e_imagenet_20210616_090925-66df6be6.pth
Config: configs/swin_transformer/swin-tiny_16xb64_in1k.py
- Name: swin-small_16xb64_in1k
Metadata:
FLOPs: 8520000000
Parameters: 49610000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.02
Top 5 Accuracy: 96.29
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin_small_224_b16x64_300e_imagenet_20210615_110219-7f9d988b.pth
Config: configs/swin_transformer/swin-small_16xb64_in1k.py
- Name: swin-base_16xb64_in1k
Metadata:
FLOPs: 15140000000
Parameters: 87770000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.36
Top 5 Accuracy: 96.44
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin_base_224_b16x64_300e_imagenet_20210616_190742-93230b0d.pth
Config: configs/swin_transformer/swin-base_16xb64_in1k.py
- Name: swin-tiny_3rdparty_in1k
Metadata:
FLOPs: 4360000000
Parameters: 28290000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 81.18
Top 5 Accuracy: 95.52
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_tiny_patch4_window7_224-160bb0a5.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-tiny_16xb64_in1k.py
- Name: swin-small_3rdparty_in1k
Metadata:
FLOPs: 8520000000
Parameters: 49610000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.21
Top 5 Accuracy: 96.25
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_small_patch4_window7_224-cc7a01c9.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_small_patch4_window7_224.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-small_16xb64_in1k.py
- Name: swin-base_3rdparty_in1k
Metadata:
FLOPs: 15140000000
Parameters: 87770000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 83.42
Top 5 Accuracy: 96.44
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_base_patch4_window7_224-4670dd19.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-base_16xb64_in1k.py
- Name: swin-base_3rdparty_in1k-384
Metadata:
FLOPs: 44490000000
Parameters: 87900000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 84.49
Top 5 Accuracy: 96.95
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_base_patch4_window12_384-02c598a4.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-base_16xb64_in1k-384px.py
- Name: swin-base_in21k-pre-3rdparty_in1k
Metadata:
FLOPs: 15140000000
Parameters: 87770000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 85.16
Top 5 Accuracy: 97.50
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_base_patch4_window7_224_22kto1k-f967f799.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22kto1k.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-base_16xb64_in1k.py
- Name: swin-base_in21k-pre-3rdparty_in1k-384
Metadata:
FLOPs: 44490000000
Parameters: 87900000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.44
Top 5 Accuracy: 98.05
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_base_patch4_window12_384_22kto1k-d59b0d1d.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22kto1k.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-base_16xb64_in1k-384px.py
- Name: swin-large_in21k-pre-3rdparty_in1k
Metadata:
FLOPs: 34040000000
Parameters: 196530000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 86.24
Top 5 Accuracy: 97.88
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_large_patch4_window7_224_22kto1k-5f0996db.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22kto1k.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-large_16xb64_in1k.py
- Name: swin-large_in21k-pre-3rdparty_in1k-384
Metadata:
FLOPs: 100040000000
Parameters: 196740000
In Collection: Swin-Transformer
Results:
- Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 87.25
Top 5 Accuracy: 98.25
Task: Image Classification
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin_large_patch4_window12_384_22kto1k-0a40944b.pth
Converted From:
Weights: https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22kto1k.pth
Code: https://github.com/microsoft/Swin-Transformer/blob/777f6c66604bb5579086c4447efe3620344d95a9/models/swin_transformer.py#L458
Config: configs/swin_transformer/swin-large_16xb64_in1k-384px.py
- Name: swin-large_8xb8_cub-384px
Metadata:
FLOPs: 100040000000
Parameters: 195510000
In Collection: Swin-Transformer
Results:
- Dataset: CUB-200-2011
Metrics:
Top 1 Accuracy: 91.87
Task: Image Classification
Pretrain: https://download.openmmlab.com/mmclassification/v0/swin-transformer/convert/swin-large_3rdparty_in21k-384px.pth
Weights: https://download.openmmlab.com/mmclassification/v0/swin-transformer/swin-large_8xb8_cub_384px_20220307-1bbaee6a.pth
Config: configs/swin_transformer/swin-large_8xb8_cub-384px.py