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Add ESE-VovNet39 weights, 79.32 top-1
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@ -149,7 +149,8 @@ default_cfgs = dict(
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ese_vovnet19b_slim_dw=_cfg(url=''),
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ese_vovnet19b_dw=_cfg(url=''),
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ese_vovnet19b_slim=_cfg(url=''),
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ese_vovnet39b=_cfg(url=''),
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ese_vovnet39b=_cfg(
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url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/ese_vovnet39b-f912fe73.pth'),
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ese_vovnet57b=_cfg(url=''),
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ese_vovnet99b=_cfg(url=''),
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eca_vovnet39b=_cfg(url=''),
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@ -313,6 +314,8 @@ class VovNet(nn.Module):
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elif isinstance(m, nn.BatchNorm2d):
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nn.init.constant_(m.weight, 1.)
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nn.init.constant_(m.bias, 0.)
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elif isinstance(m, nn.Linear):
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nn.init.zeros_(m.bias)
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def get_classifier(self):
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return self.head.fc
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