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@ -35,8 +35,9 @@ class OcclusionUnit(nn.Module):
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SpatialFeatAll = SpatialFeatAll.transpose(1, 2) # shape: [n, c, m]
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y = self.mask_layer(SpatialFeatAll)
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mask_weight = torch.sigmoid(y[:, :, 0])
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mask_score = F.normalize(mask_weight[:, :48], p=1, dim=1)
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feat_dim = SpaFeat1.size(2) * SpaFeat1.size(3)
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mask_score = F.normalize(mask_weight[:, :feat_dim], p=1, dim=1)
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mask_weight_norm = F.normalize(mask_weight, p=1, dim=1)
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mask_score = mask_score.unsqueeze(1)
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