83 lines
3.1 KiB
YAML
83 lines
3.1 KiB
YAML
Collections:
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- Name: Visual-Attention-Network
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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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- Visual Attention Network
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Paper:
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URL: https://arxiv.org/abs/2202.09741
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Title: "Visual Attention Network"
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README: configs/van/README.md
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Code:
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URL: https://github.com/open-mmlab/mmpretrain/blob/v0.23.0/mmcls/models/backbones/van.py
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Version: v0.23.0
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Models:
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- Name: van-tiny_3rdparty_in1k
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Metadata:
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Parameters: 4110000 # 4.11M
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FLOPs: 880000000 # 0.88G
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In Collection: Visual-Attention-Network
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 75.41
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Top 5 Accuracy: 93.02
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/van/van-tiny_8xb128_in1k_20220501-385941af.pth
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Config: configs/van/van-tiny_8xb128_in1k.py
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Converted From:
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Code: https://github.com/Visual-Attention-Network/VAN-Classification
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Weights: https://cloud.tsinghua.edu.cn/f/aada2242a16245d6a561/?dl=1
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- Name: van-small_3rdparty_in1k
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Metadata:
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Parameters: 13860000 # 13.86M
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FLOPs: 2520000000 # 2.52G
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In Collection: Visual-Attention-Network
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 81.01
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Top 5 Accuracy: 95.63
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/van/van-small_8xb128_in1k_20220501-17bc91aa.pth
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Config: configs/van/van-small_8xb128_in1k.py
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Converted From:
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Code: https://github.com/Visual-Attention-Network/VAN-Classification
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Weights: https://cloud.tsinghua.edu.cn/f/dd3eb73692f74a2499c9/?dl=1
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- Name: van-base_3rdparty_in1k
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Metadata:
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Parameters: 26580000 # 26.58M
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FLOPs: 5030000000 # 5.03G
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In Collection: Visual-Attention-Network
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.80
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Top 5 Accuracy: 96.21
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/van/van-base_8xb128_in1k_20220501-6a4cc31b.pth
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Config: configs/van/van-base_8xb128_in1k.py
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Converted From:
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Code: https://github.com/Visual-Attention-Network/VAN-Classification
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Weights: https://cloud.tsinghua.edu.cn/f/58e7acceaf334ecdba89/?dl=1
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- Name: van-large_3rdparty_in1k
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Metadata:
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Parameters: 44770000 # 44.77 M
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FLOPs: 8990000000 # 8.99G
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In Collection: Visual-Attention-Network
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 83.86
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Top 5 Accuracy: 96.73
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Task: Image Classification
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Weights: https://download.openmmlab.com/mmclassification/v0/van/van-large_8xb128_in1k_20220501-f212ba21.pth
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Config: configs/van/van-large_8xb128_in1k.py
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Converted From:
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Code: https://github.com/Visual-Attention-Network/VAN-Classification
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Weights: https://cloud.tsinghua.edu.cn/f/0201745f6920482490a0/?dl=1
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