diff --git a/modelscope/models/cv/image_semantic_segmentation/vit_adapter/utils/seg_func.py b/modelscope/models/cv/image_semantic_segmentation/vit_adapter/utils/seg_func.py
index db564cca..3c072296 100644
--- a/modelscope/models/cv/image_semantic_segmentation/vit_adapter/utils/seg_func.py
+++ b/modelscope/models/cv/image_semantic_segmentation/vit_adapter/utils/seg_func.py
@@ -25,7 +25,14 @@ def seg_resize(input,
                         'the output would more aligned if '
                         f'input size {(input_h, input_w)} is `x+1` and '
                         f'out size {(output_h, output_w)} is `nx+1`')
-    return F.interpolate(input, size, scale_factor, mode, align_corners)
+
+    try:
+        return F.interpolate(input, size, scale_factor, mode, align_corners)
+    except ValueError:
+        if isinstance(size, tuple):
+            if len(size) == 3:
+                size = size[:2]
+        return F.interpolate(input, size, scale_factor, mode, align_corners)
 
 
 def add_prefix(inputs, prefix):
diff --git a/tests/pipelines/test_image_semantic_segmentation.py b/tests/pipelines/test_image_semantic_segmentation.py
index 286d317a..2e8d7522 100644
--- a/tests/pipelines/test_image_semantic_segmentation.py
+++ b/tests/pipelines/test_image_semantic_segmentation.py
@@ -38,8 +38,9 @@ class ImageSemanticSegmentationTest(unittest.TestCase, DemoCompatibilityCheck):
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
     def test_image_semantic_segmentation_vitadapter(self):
+        model_id = 'damo/cv_vitadapter_semantic-segmentation_cocostuff164k'
         input_location = 'data/test/images/image_semantic_segmentation.jpg'
-        segmenter = pipeline(Tasks.image_segmentation, model=self.model_id)
+        segmenter = pipeline(Tasks.image_segmentation, model=model_id)
         result = segmenter(input_location)
 
         draw_img = semantic_seg_masks_to_image(result[OutputKeys.MASKS])