diff --git a/otx/mpa/det/explainer.py b/otx/mpa/det/explainer.py
index 4f1644eee2d..f49673920bb 100644
--- a/otx/mpa/det/explainer.py
+++ b/otx/mpa/det/explainer.py
@@ -141,13 +141,14 @@ def explain(self, cfg, model_builder=None):
         model = self.build_model(cfg, model_builder, fp16=False)
         model.CLASSES = target_classes
         model.eval()
+        feature_model = self._get_feature_module(model)
         model = build_data_parallel(model, cfg, distributed=False)
 
         # InferenceProgressCallback (Time Monitor enable into Infer task)
         self.set_inference_progress_callback(model, cfg)
 
         # Class-wise Saliency map for Single-Stage Detector, otherwise use class-ignore saliency map.
-        with self.explainer_hook(model.module) as saliency_hook:
+        with self.explainer_hook(feature_model) as saliency_hook:
             for data in test_dataloader:
                 _ = model(return_loss=False, rescale=True, **data)
             saliency_maps = saliency_hook.records
diff --git a/otx/mpa/det/stage.py b/otx/mpa/det/stage.py
index 6bd05d7b46f..615565e03fd 100644
--- a/otx/mpa/det/stage.py
+++ b/otx/mpa/det/stage.py
@@ -24,7 +24,7 @@ def configure(self, model_cfg, model_ckpt, data_cfg, training=True, **kwargs):
         cfg = self.cfg
         self.configure_model(cfg, model_cfg, training, **kwargs)
         self.configure_ckpt(cfg, model_ckpt, kwargs.get("pretrained", None))
-        self.configure_data(cfg, training, data_cfg)
+        self.configure_data(cfg, training, data_cfg, **kwargs)
         self.configure_regularization(cfg, training)
         self.configure_hyperparams(cfg, training, **kwargs)
         self.configure_task(cfg, training, **kwargs)
diff --git a/tests/integration/cli/classification/test_classification.py b/tests/integration/cli/classification/test_classification.py
index 2e308c4a19d..c633697b3cb 100644
--- a/tests/integration/cli/classification/test_classification.py
+++ b/tests/integration/cli/classification/test_classification.py
@@ -652,7 +652,7 @@ class TestToolsSelfSLClassification:
     @e2e_pytest_component
     @pytest.mark.parametrize("template", templates, ids=templates_ids)
     @set_dummy_data
-    def test_otx_train(self, template, tmp_dir_path):
+    def test_otx_selfsl_train(self, template, tmp_dir_path):
         otx_train_testing(template, tmp_dir_path, otx_dir, args_selfsl)
         template_work_dir = get_template_dir(template, tmp_dir_path)
         args1 = copy.deepcopy(args)
@@ -662,5 +662,5 @@ def test_otx_train(self, template, tmp_dir_path):
     @e2e_pytest_component
     @pytest.mark.skipif(TT_STABILITY_TESTS, reason="This is TT_STABILITY_TESTS")
     @pytest.mark.parametrize("template", templates, ids=templates_ids)
-    def test_otx_eval(self, template, tmp_dir_path):
+    def test_otx_selfsl_eval(self, template, tmp_dir_path):
         otx_eval_testing(template, tmp_dir_path, otx_dir, args)