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https://github.com/open-mmlab/mmclassification.git
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1047daa28e
* add hornet * add hornet * add hornet * add hornet * add hornet * add hornet * add hornet * fix test for torch before 1.7.0 * del timm * fix readme * fix readme * Update mmcls/models/backbones/hornet.py Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com> * fix docs * fix docs * s -> scale * fix dims and dpr impl * fix layer scale * refactor gnconv * add dw_cfg * add convert tools * update code * update docs * update readme * update URLs Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
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: 3980000000 # 3.98G
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Parameters: 22410000 # 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: 3900000000 # 3.9G
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Parameters: 22990000 # 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: 8830000000 # 8.83G
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Parameters: 49530000 # 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: 8710000000 # 8.71G
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Parameters: 50400000 # 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: 15590000000 # 15.59G
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Parameters: 87260000 # 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: 15420000000 # 15.42G
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Parameters: 88420000 # 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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