diff --git a/src/anomalib/models/image/patchcore/torch_model.py b/src/anomalib/models/image/patchcore/torch_model.py
index a2ceb32b91..89df70c68d 100644
--- a/src/anomalib/models/image/patchcore/torch_model.py
+++ b/src/anomalib/models/image/patchcore/torch_model.py
@@ -13,6 +13,8 @@
 from anomalib.models.components import DynamicBufferMixin, KCenterGreedy, TimmFeatureExtractor
 
 from .anomaly_map import AnomalyMapGenerator
+from torchvision.models.feature_extraction import create_feature_extractor
+import antialiased_cnns
 
 if TYPE_CHECKING:
     from anomalib.data.utils.tiler import Tiler
@@ -45,11 +47,20 @@ def __init__(
         self.layers = layers
         self.num_neighbors = num_neighbors
 
-        self.feature_extractor = TimmFeatureExtractor(
-            backbone=self.backbone,
-            pre_trained=pre_trained,
-            layers=self.layers,
+        if self.backbone == "antialiased_wide_resnet50_2":
+            model = antialiased_cnns.wide_resnet50_2(pretrained=True)
+            self.feature_extractor = create_feature_extractor(
+                model=model,
+                return_nodes={layer: layer for layer in self.layers},
+                tracer_kwargs={"leaf_modules": [BlurPool]},  # for models comes from antialias
         ).eval()
+        else:
+            self.feature_extractor = TimmFeatureExtractor(
+                backbone=self.backbone,
+                pre_trained=pre_trained,
+                layers=self.layers,
+            ).eval()
+
         self.feature_pooler = torch.nn.AvgPool2d(3, 1, 1)
         self.anomaly_map_generator = AnomalyMapGenerator()