diff --git a/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py b/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py
index a04635673..595a2e616 100644
--- a/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py
+++ b/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py
@@ -17,10 +17,10 @@ class PostProcessor(nn.Module):
     """
 
     def __init__(
-        self, 
-        score_thresh=0.05, 
-        nms=0.5, 
-        detections_per_img=100, 
+        self,
+        score_thresh=0.05,
+        nms=0.5,
+        detections_per_img=100,
         box_coder=None,
         cls_agnostic_bbox_reg=False
     ):
@@ -123,7 +123,7 @@ def filter_results(self, boxlist, num_classes):
             boxlist_for_class = BoxList(boxes_j, boxlist.size, mode="xyxy")
             boxlist_for_class.add_field("scores", scores_j)
             boxlist_for_class = boxlist_nms(
-                boxlist_for_class, self.nms, score_field="scores"
+                boxlist_for_class, self.nms
             )
             num_labels = len(boxlist_for_class)
             boxlist_for_class.add_field(
@@ -158,9 +158,9 @@ def make_roi_box_post_processor(cfg):
     cls_agnostic_bbox_reg = cfg.MODEL.CLS_AGNOSTIC_BBOX_REG
 
     postprocessor = PostProcessor(
-        score_thresh, 
-        nms_thresh, 
-        detections_per_img, 
+        score_thresh,
+        nms_thresh,
+        detections_per_img,
         box_coder,
         cls_agnostic_bbox_reg
     )
diff --git a/maskrcnn_benchmark/structures/boxlist_ops.py b/maskrcnn_benchmark/structures/boxlist_ops.py
index 45160f9ab..dc51212f4 100644
--- a/maskrcnn_benchmark/structures/boxlist_ops.py
+++ b/maskrcnn_benchmark/structures/boxlist_ops.py
@@ -6,7 +6,7 @@
 from maskrcnn_benchmark.layers import nms as _box_nms
 
 
-def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="score"):
+def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="scores"):
     """
     Performs non-maximum suppression on a boxlist, with scores specified
     in a boxlist field via score_field.
@@ -15,7 +15,7 @@ def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field="score"):
         boxlist(BoxList)
         nms_thresh (float)
         max_proposals (int): if > 0, then only the top max_proposals are kept
-            after non-maxium suppression
+            after non-maximum suppression
         score_field (str)
     """
     if nms_thresh <= 0: