Collections: - Name: HorNet Metadata: Training Data: ImageNet-1k Training Techniques: - AdamW - Weight Decay Architecture: - HorNet - gnConv Paper: URL: https://arxiv.org/abs/2207.14284 Title: "HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions" README: configs/hornet/README.md Code: Version: v0.24.0 URL: https://github.com/open-mmlab/mmpretrain/blob/v0.24.0/mmcls/models/backbones/hornet.py Models: - Name: hornet-tiny_3rdparty_in1k Metadata: FLOPs: 3976156352 # 3.98G Parameters: 22409512 # 22.41M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.84 Top 5 Accuracy: 96.24 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny_3rdparty_in1k_20220915-0e8eedff.pth Config: configs/hornet/hornet-tiny_8xb128_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/1ca970586c6043709a3f/?dl=1 - Name: hornet-tiny-gf_3rdparty_in1k Metadata: FLOPs: 3896472160 # 3.9G Parameters: 22991848 # 22.99M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.98 Top 5 Accuracy: 96.38 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-tiny-gf_3rdparty_in1k_20220915-4c35a66b.pth Config: configs/hornet/hornet-tiny-gf_8xb128_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/511faad0bde94dfcaa54/?dl=1 - Name: hornet-small_3rdparty_in1k Metadata: FLOPs: 8825621280 # 8.83G Parameters: 49528264 # 49.53M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.79 Top 5 Accuracy: 96.75 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small_3rdparty_in1k_20220915-5935f60f.pth Config: configs/hornet/hornet-small_8xb64_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/46422799db2941f7b684/?dl=1 - Name: hornet-small-gf_3rdparty_in1k Metadata: FLOPs: 8706094992 # 8.71G Parameters: 50401768 # 50.4M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.98 Top 5 Accuracy: 96.77 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-small-gf_3rdparty_in1k_20220915-649ca492.pth Config: configs/hornet/hornet-small-gf_8xb64_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/8405c984bf084d2ba85a/?dl=1 - Name: hornet-base_3rdparty_in1k Metadata: FLOPs: 15582677376 # 15.59G Parameters: 87256680 # 87.26M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.24 Top 5 Accuracy: 96.94 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base_3rdparty_in1k_20220915-a06176bb.pth Config: configs/hornet/hornet-base_8xb64_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/5c86cb3d655d4c17a959/?dl=1 - Name: hornet-base-gf_3rdparty_in1k Metadata: FLOPs: 15423308992 # 15.42G Parameters: 88421352 # 88.42M In Collection: HorNet Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 84.32 Top 5 Accuracy: 96.95 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v0/hornet/hornet-base-gf_3rdparty_in1k_20220915-82c06fa7.pth Config: configs/hornet/hornet-base-gf_8xb64_in1k.py Converted From: Code: https://github.com/raoyongming/HorNet Weights: https://cloud.tsinghua.edu.cn/f/6c84935e63b547f383fb/?dl=1