diff --git a/src/torchmetrics/functional/segmentation/generalized_dice.py b/src/torchmetrics/functional/segmentation/generalized_dice.py
index 9aa3c7c7bf4..04f28584b10 100644
--- a/src/torchmetrics/functional/segmentation/generalized_dice.py
+++ b/src/torchmetrics/functional/segmentation/generalized_dice.py
@@ -57,7 +57,6 @@ def _generalized_dice_update(
 
     if input_format == "index":
         preds = torch.nn.functional.one_hot(preds, num_classes=num_classes).movedim(-1, 1)
-    if input_format == "index":
         target = torch.nn.functional.one_hot(target, num_classes=num_classes).movedim(-1, 1)
 
     if not include_background:
diff --git a/src/torchmetrics/functional/segmentation/mean_iou.py b/src/torchmetrics/functional/segmentation/mean_iou.py
index 8b749d1d463..278257d04b1 100644
--- a/src/torchmetrics/functional/segmentation/mean_iou.py
+++ b/src/torchmetrics/functional/segmentation/mean_iou.py
@@ -51,7 +51,6 @@ def _mean_iou_update(
 
     if input_format == "index":
         preds = torch.nn.functional.one_hot(preds, num_classes=num_classes).movedim(-1, 1)
-    if input_format == "index":
         target = torch.nn.functional.one_hot(target, num_classes=num_classes).movedim(-1, 1)
 
     if not include_background:
diff --git a/tests/unittests/segmentation/test_generalized_dice_score.py b/tests/unittests/segmentation/test_generalized_dice_score.py
index 1d0d58babe6..a2bbab7b921 100644
--- a/tests/unittests/segmentation/test_generalized_dice_score.py
+++ b/tests/unittests/segmentation/test_generalized_dice_score.py
@@ -47,7 +47,6 @@ def _reference_generalized_dice(
     """Calculate reference metric for `MeanIoU`."""
     if input_format == "index":
         preds = torch.nn.functional.one_hot(preds, num_classes=NUM_CLASSES).movedim(-1, 1)
-    if input_format == "index":
         target = torch.nn.functional.one_hot(target, num_classes=NUM_CLASSES).movedim(-1, 1)
     val = compute_generalized_dice(preds, target, include_background=include_background)
     if reduce:
diff --git a/tests/unittests/segmentation/test_mean_iou.py b/tests/unittests/segmentation/test_mean_iou.py
index da110bb7106..68c2b060a9e 100644
--- a/tests/unittests/segmentation/test_mean_iou.py
+++ b/tests/unittests/segmentation/test_mean_iou.py
@@ -48,7 +48,6 @@ def _reference_mean_iou(
     """Calculate reference metric for `MeanIoU`."""
     if input_format == "index":
         preds = torch.nn.functional.one_hot(preds, num_classes=NUM_CLASSES).movedim(-1, 1)
-    if input_format == "index":
         target = torch.nn.functional.one_hot(target, num_classes=NUM_CLASSES).movedim(-1, 1)
 
     val = compute_iou(preds, target, include_background=include_background)