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Add ResNetVD presets #1897

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Merged
merged 4 commits into from
Oct 18, 2024
Merged

Add ResNetVD presets #1897

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29c7f83
Add ResNetVD presets
gowthamkpr Sep 30, 2024
af60749
Updated Kaggle handles
gowthamkpr Oct 8, 2024
fee5469
Add weight conversion script for ResNet_vd
gowthamkpr Oct 15, 2024
0f0ab44
Add usage
gowthamkpr Oct 18, 2024
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141 changes: 141 additions & 0 deletions keras_hub/src/models/resnet/resnet_presets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,4 +79,145 @@
},
"kaggle_handle": "kaggle://kerashub/resnetv2/keras/resnet_v2_101_imagenet/3",
},
"resnet_vd_18_imagenet": {
"metadata": {
"description": (
"18-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 11722824,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_18_imagenet",
},
"resnet_vd_34_imagenet": {
"metadata": {
"description": (
"34-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 21838408,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_34_imagenet",
},
"resnet_vd_50_imagenet": {
"metadata": {
"description": (
"50-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 25629512,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_50_imagenet",
},
"resnet_vd_50_ssld_imagenet": {
"metadata": {
"description": (
"50-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution with knowledge distillation."
),
"params": 25629512,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_50_ssld_imagenet",
},
"resnet_vd_50_ssld_v2_imagenet": {
"metadata": {
"description": (
"50-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution with knowledge distillation and AutoAugment."
),
"params": 25629512,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_50_ssld_v2_imagenet",
},
"resnet_vd_50_ssld_v2_fix_imagenet": {
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what is fix?

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"Fix_ResNet50_vd_ssld_v2 stopped all parameter updates of ResNet50_vd_ssld_v2 except the FC layer,and fine-tuned on ImageNet1k dataset" (from https://paddleclas.readthedocs.io/en/latest/models/ResNet_and_vd_en.html)

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thanks!

"metadata": {
"description": (
"50-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution with knowledge distillation, AutoAugment and "
"additional fine-tuning of the classification head."
),
"params": 25629512,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_50_ssld_v2_fix_imagenet",
},
"resnet_vd_101_imagenet": {
"metadata": {
"description": (
"101-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 44673864,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_101_imagenet",
},
"resnet_vd_101_ssld_imagenet": {
"metadata": {
"description": (
"101-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution with knowledge distillation."
),
"params": 44673864,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_101_ssld_imagenet",
},
"resnet_vd_152_imagenet": {
"metadata": {
"description": (
"152-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 60363592,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_152_imagenet",
},
"resnet_vd_200_imagenet": {
"metadata": {
"description": (
"200-layer ResNetVD (ResNet with bag of tricks) model "
"pre-trained on the ImageNet 1k dataset at a 224x224 "
"resolution."
),
"params": 74933064,
"official_name": "ResNet",
"path": "resnet",
"model_card": "https://arxiv.org/abs/1812.01187",
},
"kaggle_handle": "kaggle://kerashub/resnetvd/keras/resnet_vd_200_imagenet",
},
}
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