Merge pull request #28637 from abhishek-gola:old_dnn_tickets_cleanup

Added Output Tensor Names support in new DNN engine #28637

closes: https://github.com/opencv/opencv/issues/26201

### 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
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

modules/dnn/test/test_model.cpp

@@ -753,8 +753,7 @@ TEST_P(Test_Model, TextRecognitionWithCTCPrefixBeamSearch)
     testTextRecognitionModel(weightPath, "", imgPath, seq, decodeType, vocabulary, size, mean, scale);
 }
 
-// BUG: https://github.com/opencv/opencv/issues/26246
-TEST_P(Test_Model, DISABLED_TextDetectionByDB)
+TEST_P(Test_Model, TextDetectionByDB)
 {
     applyTestTag(CV_TEST_TAG_DEBUG_VERYLONG);
 

modules/dnn/test/test_onnx_importer.cpp

@@ -1138,12 +1138,13 @@ TEST_P(Test_ONNX_layers, ResizeUnfusedTwoInputs)
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LT(2023000000)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
+#endif
+#ifdef HAVE_INF_ENGINE
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH);
 #endif
     testONNXModels("upsample_unfused_two_inputs_opset9_torch1.4", npy, 0, 0, false, true, 2);
-    // BUG: https://github.com/opencv/opencv/issues/26291
-    // testONNXModels("upsample_unfused_two_inputs_opset11_torch1.4", npy, 0, 0, false, true, 2);
+    testONNXModels("upsample_unfused_two_inputs_opset11_torch1.4", npy, 0, 0, false, true, 2);
 }
 
 TEST_P(Test_ONNX_layers, MultyInputs)