diff --git a/models.py b/models.py
index 000f5570..aee33b65 100755
--- a/models.py
+++ b/models.py
@@ -174,10 +174,7 @@ class YOLOLayer(nn.Module):
             elif arc == 'uCE':  # unified CE (1 background + 80 classes)
                 io[..., 4:] = F.softmax(io[..., 4:], dim=4)
                 io[..., 4] = 1
-            elif arc == 'uBCE':  # unified BCE (1 background + 80 classes)
-                torch.sigmoid_(io[..., 4:])
-                io[..., 4] = 1 - io[..., 4]
-            elif arc == 'uBCEs':  # unified BCE simplified (80 classes)
+            elif arc == 'uBCE':  # unified BCE (80 classes)
                 torch.sigmoid_(io[..., 5:])
                 io[..., 4] = 1
 
diff --git a/utils/utils.py b/utils/utils.py
index e0e87bc2..a5fd55c5 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -369,12 +369,6 @@ def compute_loss(p, targets, model):  # predictions, targets, model
                 t[b, a, gj, gi, tcls[i]] = 1.0
             lcls += BCEcls(pi[..., 5:], t)
 
-        elif arc == 'uBCEs':  # unified BCE simplified (80 classes)
-            t = torch.zeros_like(pi[..., 5:])  # targets
-            if nb:
-                t[b, a, gj, gi, tcls[i]] = 1.0
-            lcls += BCEcls(pi[..., 5:], t)
-
     lbox *= k * h['giou']
     lobj *= k * h['obj']
     lcls *= k * h['cls']