diff --git a/models/common.py b/models/common.py
index b13b9241f3da..1751ad09ff92 100644
--- a/models/common.py
+++ b/models/common.py
@@ -48,7 +48,7 @@ def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True):  # ch_in, ch_out, k
         # self.act = AconC() if act is True else (act if isinstance(act, nn.Module) else nn.Identity())
         # self.act = MetaAconC() if act is True else (act if isinstance(act, nn.Module) else nn.Identity())
         # self.act = SiLU_beta() if act is True else (act if isinstance(act, nn.Module) else nn.Identity())
-        self.act = SiLU_beta(c2) if act is True else (act if isinstance(act, nn.Module) else nn.Identity())
+        self.act = MetaAconC(c2) if act is True else (act if isinstance(act, nn.Module) else nn.Identity())
 
     def forward(self, x):
         return self.act(self.bn(self.conv(x)))
diff --git a/utils/activations.py b/utils/activations.py
index 4b233996bc91..5ef2bb37fd5d 100644
--- a/utils/activations.py
+++ b/utils/activations.py
@@ -94,13 +94,14 @@ def __init__(self, c1, k=1, s=1, r=16):  # ch_in, kernel, stride, r
         self.p1 = nn.Parameter(torch.randn(1, c1, 1, 1))
         self.p2 = nn.Parameter(torch.randn(1, c1, 1, 1))
         self.fc1 = nn.Conv2d(c1, c2, k, s, bias=True)
-        self.bn1 = nn.BatchNorm2d(c2)
+        # self.bn1 = nn.BatchNorm2d(c2)
         self.fc2 = nn.Conv2d(c2, c1, k, s, bias=True)
-        self.bn2 = nn.BatchNorm2d(c1)
+        # self.bn2 = nn.BatchNorm2d(c1)
 
     # batch-size 1 bug https://github.com/nmaac/acon/issues/4
     def forward(self, x):
         y = x.mean(dim=2, keepdims=True).mean(dim=3, keepdims=True)
-        beta = torch.sigmoid(self.bn2(self.fc2(self.bn1(self.fc1(y)))))
+        # beta = torch.sigmoid(self.bn2(self.fc2(self.bn1(self.fc1(y)))))
+        beta = torch.sigmoid(self.fc2(self.fc1(y)))
         dpx = (self.p1 - self.p2) * x
         return dpx * torch.sigmoid(beta * dpx) + self.p2 * x