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- Collections:
- - Name: DeiT3
- Metadata:
- Architecture:
- - Attention Dropout
- - Convolution
- - Dense Connections
- - Dropout
- - GELU
- - Layer Normalization
- - Multi-Head Attention
- - Scaled Dot-Product Attention
- - Tanh Activation
- Paper:
- URL: https://arxiv.org/abs/2204.07118
- Title: 'DeiT III: Revenge of the ViT'
- README: configs/deit3/README.md
- Code:
- URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc2/mmcls/models/backbones/deit3.py
- Version: v1.0.0rc2
- Models:
- - Name: deit3-small-p16_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 4607954304
- Parameters: 22059496
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 81.35
- Top 5 Accuracy: 95.31
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k_20221008-0f7c70cf.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
- - Name: deit3-small-p16_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 15517663104
- Parameters: 22205416
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 83.43
- Top 5 Accuracy: 96.68
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_3rdparty_in1k-384px_20221008-a2c1a0c7.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
- - Name: deit3-small-p16_in21k-pre_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 4607954304
- Parameters: 22059496
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 83.06
- Top 5 Accuracy: 96.77
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k_20221009-dcd90827.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_224_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-small-p16_64xb64_in1k.py
- - Name: deit3-small-p16_in21k-pre_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 15517663104
- Parameters: 22205416
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 84.84
- Top 5 Accuracy: 97.48
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-small-p16_in21k-pre_3rdparty_in1k-384px_20221009-de116dd7.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_small_384_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-small-p16_64xb64_in1k-384px.py
- - Name: deit3-medium-p16_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 8003064320
- Parameters: 38849512
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 82.99
- Top 5 Accuracy: 96.22
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_3rdparty_in1k_20221008-3b21284d.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
- - Name: deit3-medium-p16_in21k-pre_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 8003064320
- Parameters: 38849512
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 84.56
- Top 5 Accuracy: 97.19
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-medium-p16_in21k-pre_3rdparty_in1k_20221009-472f11e2.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-medium-p16_64xb64_in1k.py
- - Name: deit3-base-p16_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 17581972224
- Parameters: 86585320
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 83.80
- Top 5 Accuracy: 96.55
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k_20221008-60b8c8bf.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
- - Name: deit3-base-p16_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 55538974464
- Parameters: 86877160
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 85.08
- Top 5 Accuracy: 97.25
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_3rdparty_in1k-384px_20221009-e19e36d4.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
- - Name: deit3-base-p16_in21k-pre_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 17581972224
- Parameters: 86585320
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 85.70
- Top 5 Accuracy: 97.75
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k_20221009-87983ca1.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_224_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-base-p16_64xb64_in1k.py
- - Name: deit3-base-p16_in21k-pre_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 55538974464
- Parameters: 86877160
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 86.73
- Top 5 Accuracy: 98.11
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-base-p16_in21k-pre_3rdparty_in1k-384px_20221009-5e4e37b9.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_base_384_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-base-p16_64xb32_in1k-384px.py
- - Name: deit3-large-p16_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 61603111936
- Parameters: 304374760
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 84.87
- Top 5 Accuracy: 97.01
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k_20221009-03b427ea.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
- - Name: deit3-large-p16_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 191210034176
- Parameters: 304763880
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 85.82
- Top 5 Accuracy: 97.60
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_3rdparty_in1k-384px_20221009-4317ce62.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
- - Name: deit3-large-p16_in21k-pre_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 61603111936
- Parameters: 304374760
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 86.97
- Top 5 Accuracy: 98.24
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k_20221009-d8d27084.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_224_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-large-p16_64xb64_in1k.py
- - Name: deit3-large-p16_in21k-pre_3rdparty_in1k-384px
- In Collection: DeiT3
- Metadata:
- FLOPs: 191210034176
- Parameters: 304763880
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 87.73
- Top 5 Accuracy: 98.51
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-large-p16_in21k-pre_3rdparty_in1k-384px_20221009-75fea03f.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_large_384_21k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-large-p16_64xb16_in1k-384px.py
- - Name: deit3-huge-p14_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 167400741120
- Parameters: 632126440
- Training Data:
- - ImageNet-1k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 85.21
- Top 5 Accuracy: 97.36
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_3rdparty_in1k_20221009-e107bcb7.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py
- - Name: deit3-huge-p14_in21k-pre_3rdparty_in1k
- In Collection: DeiT3
- Metadata:
- FLOPs: 167400741120
- Parameters: 632126440
- Training Data:
- - ImageNet-21k
- Results:
- - Dataset: ImageNet-1k
- Task: Image Classification
- Metrics:
- Top 1 Accuracy: 87.19
- Top 5 Accuracy: 98.26
- Weights: https://download.openmmlab.com/mmclassification/v0/deit3/deit3-huge-p14_in21k-pre_3rdparty_in1k_20221009-19b8a535.pth
- Converted From:
- Weights: https://dl.fbaipublicfiles.com/deit/deit_3_huge_224_1k.pth
- Code: https://github.com/facebookresearch/deit/blob/main/models_v2.py#L171
- Config: configs/deit3/deit3-huge-p14_64xb32_in1k.py
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