diff --git a/torchseg/decoders/unetplusplus/model.py b/torchseg/decoders/unetplusplus/model.py
index 72aa5db9..ede695d7 100644
--- a/torchseg/decoders/unetplusplus/model.py
+++ b/torchseg/decoders/unetplusplus/model.py
@@ -46,6 +46,9 @@ class UnetPlusPlus(SegmentationModel):
                 - dropout (float): Dropout factor in [0, 1)
                 - activation (str): An activation function to apply "sigmoid"/"softmax"
                     (could be **None** to return logits)
+        head_upsampling: Factor to upsample input to segmentation head. Defaults to 1.
+            This allows for use of U-Net decoder with models that need additional
+            upsampling to be at the original input image resolution.
 
     Reference:
         https://arxiv.org/abs/1807.10165
@@ -67,6 +70,7 @@ def __init__(
         activation: Callable = nn.Identity(),
         encoder_params: dict = {},
         aux_params: Optional[dict] = None,
+        head_upsampling: int = 1,
     ):
         super().__init__()
 
@@ -97,6 +101,7 @@ def __init__(
             out_channels=classes,
             activation=activation,
             kernel_size=3,
+            upsampling=head_upsampling,
         )
 
         if aux_params is not None: