Merge pull request #28744 from asmorkalov:as/kleidicv_26.03

KleidiCV update to verison 26.03 #28744

KleidiCV release: https://gitlab.arm.com/kleidi/kleidicv/-/releases/26.03

Tuned DNN test threshold as resize linear produces slightly different result with the new KleidiCV version.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

modules/dnn/test/test_tf_importer.cpp

@@ -70,7 +70,7 @@ TEST(Test_TensorFlow, inception_accuracy)
 
     Mat ref = blobFromNPY(_tf("tf_inception_prob.npy"));
 
-    normAssert(ref, out);
+    normAssert(ref, out, "", 5e-5, 0.02);
 }
 
 static std::string path(const std::string& file)
@@ -937,16 +937,12 @@ TEST_P(Test_TensorFlow_nets, MobileNet_SSD)
     net.setInput(inp);
     Mat out = net.forward();
 
-    double scoreDiff = default_l1, iouDiff = default_lInf;
+    double scoreDiff = default_l1, iouDiff = 0.04;
     if (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD || target == DNN_TARGET_CPU_FP16)
     {
         scoreDiff = 0.01;
         iouDiff = 0.1;
     }
-    else if (target == DNN_TARGET_CUDA_FP16)
-    {
-        iouDiff = 0.04;
-    }
 
     normAssertDetections(ref, out, "", 0.2, scoreDiff, iouDiff);
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_RELEASE >= 2019010000