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_tflite_importer.cpp

@@ -94,7 +94,7 @@ TEST_P(Test_TFLite, face_landmark)
 {
     if (backend == DNN_BACKEND_CUDA && target == DNN_TARGET_CUDA_FP16)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA_FP16);
-    double l1 = 2.2e-5, lInf = 2e-4;
+    double l1 = 0.066, lInf = 0.21;
     if (target == DNN_TARGET_CPU_FP16 || target == DNN_TARGET_CUDA_FP16 || target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL))
     {
@@ -120,7 +120,7 @@ TEST_P(Test_TFLite, face_detection_short_range)
 // https://google.github.io/mediapipe/solutions/selfie_segmentation
 TEST_P(Test_TFLite, selfie_segmentation)
 {
-    double l1 = 0, lInf = 0;
+    double l1 = 0.002, lInf = 0.24;
     if (target == DNN_TARGET_CPU_FP16 || target == DNN_TARGET_CUDA_FP16 || target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD ||
         (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH && target == DNN_TARGET_OPENCL))
     {