diff --git a/torchvision/models/video/mixed_conv.py b/torchvision/models/video/mixed_conv.py
index 3bd631fc1e2..4b8895ab891 100644
--- a/torchvision/models/video/mixed_conv.py
+++ b/torchvision/models/video/mixed_conv.py
@@ -36,35 +36,6 @@ def _mcX(model_depth, X=3, use_pool1=False, **kwargs):
     return model
 
 
-def _rmcX(model_depth, X=3, use_pool1=False, **kwargs):
-    """Generate reverse mixed convolution network as in
-        https://arxiv.org/abs/1711.11248
-
-    Args:
-        model_depth (int): trunk depth - supports most resnet depths
-        X (int): Up to which layers are convolutions 2D
-        use_pool1 (bool, optional): Add pooling layer to the stem. Defaults to False.
-
-    Returns:
-        nn.Module: mcX video trunk
-    """
-    assert X > 1 and X <= 5
-
-    conv_makers = [Conv3DNoTemporal] * (X - 2)
-    while len(conv_makers) < 5:
-        conv_makers.append(Conv3DSimple)
-
-    if model_depth < 50:
-        block = BasicBlock
-    else:
-        block = Bottleneck
-
-    model = VideoTrunkBuilder(block=block, conv_makers=conv_makers, model_depth=model_depth,
-                              stem=get_default_stem(use_pool1=use_pool1), **kwargs)
-
-    return model
-
-
 def mc3_18(use_pool1=False, **kwargs):
     """Constructor for 18 layer Mixed Convolution network as in
     https://arxiv.org/abs/1711.11248