diff --git a/examples/vision/segmentation/paddleseg/cpp/infer.cc b/examples/vision/segmentation/paddleseg/cpp/infer.cc
index d3c4627043..28bb560091 100644
--- a/examples/vision/segmentation/paddleseg/cpp/infer.cc
+++ b/examples/vision/segmentation/paddleseg/cpp/infer.cc
@@ -37,7 +37,7 @@ void CpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::SegmentationResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -66,7 +66,7 @@ void GpuInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::SegmentationResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
@@ -96,7 +96,7 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
   auto im = cv::imread(image_file);
 
   fastdeploy::vision::SegmentationResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/segmentation/paddleseg/quantize/cpp/infer.cc b/examples/vision/segmentation/paddleseg/quantize/cpp/infer.cc
index 2611e2456a..158a302636 100644
--- a/examples/vision/segmentation/paddleseg/quantize/cpp/infer.cc
+++ b/examples/vision/segmentation/paddleseg/quantize/cpp/infer.cc
@@ -34,7 +34,7 @@ void InitAndInfer(const std::string& model_dir, const std::string& image_file,
   auto im_bak = im.clone();
 
   fastdeploy::vision::SegmentationResult res;
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/examples/vision/segmentation/paddleseg/rknpu2/cpp/infer.cc b/examples/vision/segmentation/paddleseg/rknpu2/cpp/infer.cc
index 9004828b77..bfc108d058 100644
--- a/examples/vision/segmentation/paddleseg/rknpu2/cpp/infer.cc
+++ b/examples/vision/segmentation/paddleseg/rknpu2/cpp/infer.cc
@@ -74,12 +74,12 @@ void InferHumanPPHumansegv2Lite(const std::string& device) {
   auto im = cv::imread(image_file);
 
   if (device == "npu") {
-    model.DisableNormalizeAndPermute();
+    model.GetPreprocessor().DisableNormalizeAndPermute();
   }
 
   fastdeploy::vision::SegmentationResult res;
   clock_t start = clock();
-  if (!model.Predict(&im, &res)) {
+  if (!model.Predict(im, &res)) {
     std::cerr << "Failed to predict." << std::endl;
     return;
   }
diff --git a/fastdeploy/vision/segmentation/ppseg/postprocessor.cc b/fastdeploy/vision/segmentation/ppseg/postprocessor.cc
index a2acb8ef7a..953cf2c687 100644
--- a/fastdeploy/vision/segmentation/ppseg/postprocessor.cc
+++ b/fastdeploy/vision/segmentation/ppseg/postprocessor.cc
@@ -280,13 +280,17 @@ bool PaddleSegPostprocessor::Run(
 
     FDMat mat;
     std::vector<uint8_t> uint8_result_buffer;
+    // Resize interpration 
+    int interpolation = cv::INTER_LINEAR;
     if (is_resized) {
       if (infer_results_dtype == FDDataType::INT64 ||
           infer_results_dtype == FDDataType::INT32 ){
-            FDTensorCast2Uint8(&infer_result, infer_chw, &uint8_result_buffer);
-          }
+        FDTensorCast2Uint8(&infer_result, infer_chw, &uint8_result_buffer);
+        // label map resize with nearest interpolation
+        interpolation = cv::INTER_NEAREST;
+      }
       mat = std::move(Mat::Create(infer_result, ProcLib::OPENCV));
-      Resize::Run(&mat, input_width, input_height, -1.0f, -1.0f, 1, false, ProcLib::OPENCV);
+      Resize::Run(&mat, input_width, input_height, -1.0f, -1.0f, interpolation, false, ProcLib::OPENCV);
       mat.ShareWithTensor(&infer_result);
     } 
     result->shape = infer_result.shape;