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miunangel
2025-08-16 20:46:31 +08:00
commit 3dc26db3b9
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14
Dassl.ProGrad.pytorch/configs/datasets/dg/cifar100_c.yaml Normal file
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INPUT:
SIZE: (32, 32)
TRANSFORMS: ["random_flip", "random_crop", "normalize"]
PIXEL_MEAN: [0.5, 0.5, 0.5]
PIXEL_STD: [0.5, 0.5, 0.5]
DATASET:
NAME: "CIFAR100C"
CIFAR_C_TYPE: "fog"
CIFAR_C_LEVEL: 5
MODEL:
BACKBONE:
NAME: "wide_resnet_16_4"

14
Dassl.ProGrad.pytorch/configs/datasets/dg/cifar10_c.yaml Normal file
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INPUT:
SIZE: (32, 32)
TRANSFORMS: ["random_flip", "random_crop", "normalize"]
PIXEL_MEAN: [0.5, 0.5, 0.5]
PIXEL_STD: [0.5, 0.5, 0.5]
DATASET:
NAME: "CIFAR10C"
CIFAR_C_TYPE: "fog"
CIFAR_C_LEVEL: 5
MODEL:
BACKBONE:
NAME: "wide_resnet_16_4"

12
Dassl.ProGrad.pytorch/configs/datasets/dg/digit_single.yaml Normal file
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INPUT:
SIZE: (32, 32)
TRANSFORMS: ["normalize"]
PIXEL_MEAN: [0.5, 0.5, 0.5]
PIXEL_STD: [0.5, 0.5, 0.5]
DATASET:
NAME: "DigitSingle"
MODEL:
BACKBONE:
NAME: "cnn_digitsingle"

12
Dassl.ProGrad.pytorch/configs/datasets/dg/digits_dg.yaml Normal file
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INPUT:
SIZE: (32, 32)
TRANSFORMS: ["normalize"]
PIXEL_MEAN: [0.5, 0.5, 0.5]
PIXEL_STD: [0.5, 0.5, 0.5]
DATASET:
NAME: "DigitsDG"
MODEL:
BACKBONE:
NAME: "cnn_digitsdg"

11
Dassl.ProGrad.pytorch/configs/datasets/dg/office_home_dg.yaml Normal file
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INPUT:
SIZE: (224, 224)
TRANSFORMS: ["random_flip", "random_translation", "normalize"]
DATASET:
NAME: "OfficeHomeDG"
MODEL:
BACKBONE:
NAME: "resnet18"
PRETRAINED: True

11
Dassl.ProGrad.pytorch/configs/datasets/dg/pacs.yaml Normal file
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INPUT:
SIZE: (224, 224)
TRANSFORMS: ["random_flip", "random_translation", "normalize"]
DATASET:
NAME: "PACS"
MODEL:
BACKBONE:
NAME: "resnet18"
PRETRAINED: True

11
Dassl.ProGrad.pytorch/configs/datasets/dg/vlcs.yaml Normal file
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INPUT:
SIZE: (224, 224)
TRANSFORMS: ["random_flip", "random_translation", "normalize"]
DATASET:
NAME: "VLCS"
MODEL:
BACKBONE:
NAME: "resnet18"
PRETRAINED: True