diff --git a/CHANGELOG.md b/CHANGELOG.md
index d52174b0668..426664f56c6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -110,6 +110,8 @@ All notable changes to this project will be documented in this file.
   (<https://github.com/openvinotoolkit/training_extensions/pull/4067>)
 - Fix wrong model name in converter & template
   (<https://github.com/openvinotoolkit/training_extensions/pull/4082>)
+- Fix RTMDet Inst Explain Mode
+  (<https://github.com/openvinotoolkit/training_extensions/pull/4083>)
 
 ## \[v2.1.0\]
 
diff --git a/src/otx/algo/detection/base_models/single_stage_detector.py b/src/otx/algo/detection/base_models/single_stage_detector.py
index c83626aa29c..c848eaae675 100644
--- a/src/otx/algo/detection/base_models/single_stage_detector.py
+++ b/src/otx/algo/detection/base_models/single_stage_detector.py
@@ -11,12 +11,14 @@
 
 from typing import TYPE_CHECKING
 
+import torch
+
+from otx.algo.instance_segmentation.heads.rtmdet_inst_head import RTMDetInstSepBNHead
 from otx.algo.modules.base_module import BaseModule
 from otx.algo.utils.mmengine_utils import InstanceData
 from otx.core.data.entity.detection import DetBatchDataEntity
 
 if TYPE_CHECKING:
-    import torch
     from torch import Tensor, nn
 
 
@@ -210,6 +212,19 @@ def export(
             backbone_feat = self.extract_feat(batch_inputs)
             bbox_head_feat = self.bbox_head.forward(backbone_feat)
             feature_vector = self.feature_vector_fn(backbone_feat)
+
+            if isinstance(self.bbox_head, RTMDetInstSepBNHead):
+                # create dummy saliency map as its implemented in ModelAPI
+                saliency_map = torch.zeros(1)
+                bboxes, labels, masks = self.bbox_head.export(backbone_feat, batch_img_metas, rescale=rescale)  # type: ignore[misc]
+                return {
+                    "bboxes": bboxes,
+                    "labels": labels,
+                    "masks": masks,
+                    "feature_vector": feature_vector,
+                    "saliency_map": saliency_map,
+                }
+
             saliency_map = self.explain_fn(bbox_head_feat[0])
             bboxes, labels = self.bbox_head.export(backbone_feat, batch_img_metas, rescale=rescale)
             return {
diff --git a/src/otx/algo/instance_segmentation/heads/__init__.py b/src/otx/algo/instance_segmentation/heads/__init__.py
index 3b333fb1cd2..ea5515b5c9f 100644
--- a/src/otx/algo/instance_segmentation/heads/__init__.py
+++ b/src/otx/algo/instance_segmentation/heads/__init__.py
@@ -7,7 +7,7 @@
 from .fcn_mask_head import FCNMaskHead
 from .roi_head_tv import TVRoIHeads
 from .rpn_head import RPNHead
-from .rtmdet_ins_head import RTMDetInsSepBNHead
+from .rtmdet_inst_head import RTMDetInstSepBNHead
 
 __all__ = [
     "Shared2FCBBoxHead",
@@ -16,5 +16,5 @@
     "FCNMaskHead",
     "TVRoIHeads",
     "RPNHead",
-    "RTMDetInsSepBNHead",
+    "RTMDetInstSepBNHead",
 ]
diff --git a/src/otx/algo/instance_segmentation/heads/rtmdet_ins_head.py b/src/otx/algo/instance_segmentation/heads/rtmdet_inst_head.py
similarity index 99%
rename from src/otx/algo/instance_segmentation/heads/rtmdet_ins_head.py
rename to src/otx/algo/instance_segmentation/heads/rtmdet_inst_head.py
index 77539bf22d3..f1a2a559c55 100644
--- a/src/otx/algo/instance_segmentation/heads/rtmdet_ins_head.py
+++ b/src/otx/algo/instance_segmentation/heads/rtmdet_inst_head.py
@@ -46,7 +46,7 @@
 # mypy: disable-error-code="call-overload, index, override, attr-defined, misc"
 
 
-class RTMDetInsHead(RTMDetHead):
+class RTMDetInstHead(RTMDetHead):
     """Detection Head of RTMDet-Ins.
 
     Args:
@@ -764,7 +764,7 @@ def forward(self, features: tuple[Tensor, ...]) -> Tensor:
         return self.projection(mask_features)
 
 
-class RTMDetInsSepBNHead(RTMDetInsHead):
+class RTMDetInstSepBNHead(RTMDetInstHead):
     """Detection Head of RTMDet-Ins with sep-bn layers.
 
     Args:
diff --git a/src/otx/algo/instance_segmentation/rtmdet_inst.py b/src/otx/algo/instance_segmentation/rtmdet_inst.py
index 8e7f4dd2369..4b093d0a341 100644
--- a/src/otx/algo/instance_segmentation/rtmdet_inst.py
+++ b/src/otx/algo/instance_segmentation/rtmdet_inst.py
@@ -18,7 +18,7 @@
 from otx.algo.common.utils.samplers import PseudoSampler
 from otx.algo.detection.base_models import SingleStageDetector
 from otx.algo.detection.necks import CSPNeXtPAFPN
-from otx.algo.instance_segmentation.heads import RTMDetInsSepBNHead
+from otx.algo.instance_segmentation.heads import RTMDetInstSepBNHead
 from otx.algo.instance_segmentation.losses import DiceLoss
 from otx.algo.modules.norm import build_norm_layer
 from otx.core.config.data import TileConfig
@@ -155,7 +155,7 @@ def _build_model(self, num_classes: int) -> SingleStageDetector:
             activation=partial(nn.SiLU, inplace=True),
         )
 
-        bbox_head = RTMDetInsSepBNHead(
+        bbox_head = RTMDetInstSepBNHead(
             num_classes=num_classes,
             in_channels=96,
             stacked_convs=2,
diff --git a/tests/integration/api/test_xai.py b/tests/integration/api/test_xai.py
index 91daf52e4f3..1249867db9f 100644
--- a/tests/integration/api/test_xai.py
+++ b/tests/integration/api/test_xai.py
@@ -110,7 +110,7 @@ def test_predict_with_explain(
     if "dino" in model_name:
         pytest.skip("DINO is not supported.")
 
-    if any(keyword in recipe for keyword in ["rtmdet_inst_tiny", "maskdino", "maskrcnn_r50_tv"]):
+    if any(keyword in recipe for keyword in ["maskdino", "maskrcnn_r50_tv"]):
         # TODO(Eugene): inst-seg models not fully support yet.
         pytest.skip(f"There's issue with inst-seg: {recipe}. Skip for now.")