98 lines
3.5 KiB
YAML
98 lines
3.5 KiB
YAML
Collections:
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- Name: HorNet
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Metadata:
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Training Data: ImageNet-1k
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Training Techniques:
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- AdamW
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- Weight Decay
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Architecture:
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- HorNet
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- gnConv
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Paper:
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URL: https://arxiv.org/pdf/2207.14284v2.pdf
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Title: "HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions"
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README: configs/hornet/README.md
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Code:
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Version: v0.24.0
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URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/backbones/hornet.py
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Models:
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- Name: hornet-tiny_3rdparty_in1k
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Metadata:
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FLOPs: 3976156352 # 3.98G
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Parameters: 22409512 # 22.41M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.84
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Top 5 Accuracy: 96.24
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny_3rdparty_in1k_20220915-0e8eedff.pth
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Config: configs/hornet/hornet-tiny_8xb128_in1k.py
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- Name: hornet-tiny-gf_3rdparty_in1k
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Metadata:
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FLOPs: 3896472160 # 3.9G
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Parameters: 22991848 # 22.99M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.98
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Top 5 Accuracy: 96.38
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny-gf_3rdparty_in1k_20220915-4c35a66b.pth
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Config: configs/hornet/hornet-tiny-gf_8xb128_in1k.py
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- Name: hornet-small_3rdparty_in1k
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Metadata:
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FLOPs: 8825621280 # 8.83G
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Parameters: 49528264 # 49.53M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.79
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Top 5 Accuracy: 96.75
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small_3rdparty_in1k_20220915-5935f60f.pth
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Config: configs/hornet/hornet-small_8xb64_in1k.py
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- Name: hornet-small-gf_3rdparty_in1k
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Metadata:
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FLOPs: 8706094992 # 8.71G
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Parameters: 50401768 # 50.4M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.98
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Top 5 Accuracy: 96.77
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small-gf_3rdparty_in1k_20220915-649ca492.pth
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Config: configs/hornet/hornet-small-gf_8xb64_in1k.py
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- Name: hornet-base_3rdparty_in1k
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Metadata:
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FLOPs: 15582677376 # 15.59G
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Parameters: 87256680 # 87.26M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 84.24
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Top 5 Accuracy: 96.94
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base_3rdparty_in1k_20220915-a06176bb.pth
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Config: configs/hornet/hornet-base_8xb64_in1k.py
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- Name: hornet-base-gf_3rdparty_in1k
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Metadata:
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FLOPs: 15423308992 # 15.42G
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Parameters: 88421352 # 88.42M
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In Collection: HorNet
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 84.32
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Top 5 Accuracy: 96.95
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base-gf_3rdparty_in1k_20220915-82c06fa7.pth
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Config: configs/hornet/hornet-base-gf_8xb64_in1k.py
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