79 lines
3.0 KiB
YAML
79 lines
3.0 KiB
YAML
Collections:
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- Name: Conformer
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Metadata:
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Training Data: ImageNet-1k
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Architecture:
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- Layer Normalization
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- Scaled Dot-Product Attention
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- Dropout
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Paper:
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URL: https://arxiv.org/abs/2105.03889
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Title: "Conformer: Local Features Coupling Global Representations for Visual Recognition"
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README: configs/conformer/README.md
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Code:
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URL: https://github.com/open-mmlab/mmpretrain/blob/v0.19.0/mmcls/models/backbones/conformer.py
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Version: v0.19.0
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Models:
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- Name: conformer-tiny-p16_3rdparty_in1k
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In Collection: Conformer
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Config: configs/conformer/conformer-tiny-p16_8xb128_in1k.py
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Metadata:
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FLOPs: 4899611328
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Parameters: 23524704
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.31
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Top 5 Accuracy: 95.60
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/conformer/conformer-tiny-p16_3rdparty_8xb128_in1k_20211206-f6860372.pth
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Converted From:
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Weights: https://drive.google.com/file/d/19SxGhKcWOR5oQSxNUWUM2MGYiaWMrF1z/view?usp=sharing
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Code: https://github.com/pengzhiliang/Conformer/blob/main/models.py#L65
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- Name: conformer-small-p16_3rdparty_in1k
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In Collection: Conformer
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Config: configs/conformer/conformer-small-p16_8xb128_in1k.py
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Metadata:
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FLOPs: 10311309312
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Parameters: 37673424
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.32
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Top 5 Accuracy: 96.46
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/conformer/conformer-small-p16_3rdparty_8xb128_in1k_20211206-3065dcf5.pth
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Converted From:
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Weights: https://drive.google.com/file/d/1mpOlbLaVxOfEwV4-ha78j_1Ebqzj2B83/view?usp=sharing
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Code: https://github.com/pengzhiliang/Conformer/blob/main/models.py#L73
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- Name: conformer-small-p32_8xb128_in1k
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In Collection: Conformer
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Config: configs/conformer/conformer-small-p32_8xb128_in1k.py
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Metadata:
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FLOPs: 7087281792
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Parameters: 38853072
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.96
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Top 5 Accuracy: 96.02
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/conformer/conformer-small-p32_8xb128_in1k_20211206-947a0816.pth
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- Name: conformer-base-p16_3rdparty_in1k
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In Collection: Conformer
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Config: configs/conformer/conformer-base-p16_8xb128_in1k.py
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Metadata:
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FLOPs: 22892078080
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Parameters: 83289136
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.82
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Top 5 Accuracy: 96.59
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/conformer/conformer-base-p16_3rdparty_8xb128_in1k_20211206-bfdf8637.pth
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Converted From:
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Weights: https://drive.google.com/file/d/1oeQ9LSOGKEUaYGu7WTlUGl3KDsQIi0MA/view?usp=sharing
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Code: https://github.com/pengzhiliang/Conformer/blob/main/models.py#L89
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