diff --git a/src/otx/core/model/entity/classification.py b/src/otx/core/model/entity/classification.py
index ec0a7aa25ee..63d8dc7fce2 100644
--- a/src/otx/core/model/entity/classification.py
+++ b/src/otx/core/model/entity/classification.py
@@ -12,7 +12,6 @@
 import numpy as np
 import torch
 
-from otx.algo.explain.explain_algo import feature_vector_fn
 from otx.core.data.dataset.classification import HLabelInfo
 from otx.core.data.entity.base import (
     OTXBatchLossEntity,
@@ -80,6 +79,8 @@ def forward_explain(
         inputs: T_OTXBatchDataEntity,
     ) -> T_OTXBatchPredEntity | T_OTXBatchPredEntityWithXAI | OTXBatchLossEntity:
         """Model forward function."""
+        from otx.algo.explain.explain_algo import feature_vector_fn
+
         self.model.feature_vector_fn = feature_vector_fn
         self.model.explain_fn = self.get_explain_fn()
 
@@ -139,6 +140,8 @@ def get_explain_fn(self) -> Callable:
         return explainer.func
 
     def _reset_model_forward(self) -> None:
+        from otx.algo.explain.explain_algo import feature_vector_fn
+
         if not self.explain_mode:
             return
 
diff --git a/src/otx/core/model/entity/instance_segmentation.py b/src/otx/core/model/entity/instance_segmentation.py
index ed2f0e86ae6..12effcebcb2 100644
--- a/src/otx/core/model/entity/instance_segmentation.py
+++ b/src/otx/core/model/entity/instance_segmentation.py
@@ -18,7 +18,6 @@
 from openvino.model_api.tilers import InstanceSegmentationTiler
 from torchvision import tv_tensors
 
-from otx.algo.explain.explain_algo import MaskRCNNExplainAlgo, feature_vector_fn
 from otx.core.config.data import TileConfig
 from otx.core.data.entity.base import (
     OTXBatchLossEntity,
@@ -139,6 +138,8 @@ def forward_explain(
         inputs: InstanceSegBatchDataEntity,
     ) -> InstanceSegBatchPredEntity | InstanceSegBatchPredEntityWithXAI | OTXBatchLossEntity:
         """Model forward function."""
+        from otx.algo.explain.explain_algo import feature_vector_fn
+
         self.model.feature_vector_fn = feature_vector_fn
         self.model.explain_fn = self.get_explain_fn()
 
@@ -196,6 +197,8 @@ def _forward_explain_inst_seg(
 
     def get_explain_fn(self) -> Callable:
         """Returns explain function."""
+        from otx.algo.explain.explain_algo import MaskRCNNExplainAlgo
+
         explainer = MaskRCNNExplainAlgo(num_classes=self.num_classes)
         return explainer.func