diff --git a/csrc/mmdeploy/codebase/mmdet/instance_segmentation.cpp b/csrc/mmdeploy/codebase/mmdet/instance_segmentation.cpp
index 270f4c6641..14360dc87a 100644
--- a/csrc/mmdeploy/codebase/mmdet/instance_segmentation.cpp
+++ b/csrc/mmdeploy/codebase/mmdet/instance_segmentation.cpp
@@ -145,8 +145,8 @@ class ResizeInstanceMask : public ResizeBBox {
       OUTCOME_TRY(auto cpu_mask, MakeAvailableOnDevice(d_mask, host, stream_));
       OUTCOME_TRY(stream().Wait());
       cv::Mat mask_mat(mask_height, mask_width, CV_32FC(mask_channel), cpu_mask.data());
-      int resize_height = int(mask_height / scale_factor_[0] + 0.5);
-      int resize_width = int(mask_width / scale_factor_[1] + 0.5);
+      int resize_height = int(mask_height / scale_factor_[1] + 0.5);
+      int resize_width = int(mask_width / scale_factor_[0] + 0.5);
       // skip resize if scale_factor is 1.0
       if (resize_height != mask_height || resize_width != mask_width) {
         cv::resize(mask_mat, mask_mat, cv::Size(resize_width, resize_height), cv::INTER_LINEAR);
diff --git a/mmdeploy/codebase/mmdet/deploy/object_detection_model.py b/mmdeploy/codebase/mmdet/deploy/object_detection_model.py
index c6a958e5eb..28a63eb9a8 100644
--- a/mmdeploy/codebase/mmdet/deploy/object_detection_model.py
+++ b/mmdeploy/codebase/mmdet/deploy/object_detection_model.py
@@ -225,8 +225,8 @@ def postprocessing_results(self,
             elif 'border' in img_metas[i]:
                 pad_key = 'border'
             if pad_key is not None:
-                x_off = img_metas[i][pad_key][2] / scale_factor[1]
-                y_off = img_metas[i][pad_key][0] / scale_factor[0]
+                x_off = img_metas[i][pad_key][2] / scale_factor[0]
+                y_off = img_metas[i][pad_key][0] / scale_factor[1]
                 bboxes[:, ::2] -= x_off
                 bboxes[:, 1::2] -= y_off
                 bboxes *= (bboxes > 0)
@@ -262,9 +262,9 @@ def postprocessing_results(self,
                         masks.unsqueeze(0),
                         size=[
                             math.ceil(masks.shape[-2] /
-                                      img_metas[i]['scale_factor'][0]),
+                                      img_metas[i]['scale_factor'][1]),
                             math.ceil(masks.shape[-1] /
-                                      img_metas[i]['scale_factor'][1])
+                                      img_metas[i]['scale_factor'][0])
                         ])[..., :ori_h, :ori_w]
                     masks = masks.squeeze(0)
                 if masks.dtype != bool: