17 lines
495 B
Python
17 lines
495 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='DaViT', arch='small', out_indices=(3, ), drop_path_rate=0.2),
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neck=dict(type='GlobalAveragePooling'),
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=768,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
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),
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train_cfg=dict(augments=[
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dict(type='Mixup', alpha=0.8),
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dict(type='CutMix', alpha=1.0)
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]))
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