diff --git a/modules/dnn/src/tflite/tflite_importer.cpp b/modules/dnn/src/tflite/tflite_importer.cpp
index a23bff2545..8850cd9ad2 100644
--- a/modules/dnn/src/tflite/tflite_importer.cpp
+++ b/modules/dnn/src/tflite/tflite_importer.cpp
@@ -300,6 +300,10 @@ void TFLiteImporter::addLayer(LayerParams& layerParams, const Operator& op) {
             Mat blob = allTensors[idx];
             layerParams.blobs.push_back(blob.u ? blob : blob.clone());  // some tensors are owned by OpenCV
         }
+    } else {
+        for (auto& blob : layerParams.blobs) {
+            CV_Assert(blob.u);
+        }
     }
 
     int dtype = CV_32F;
@@ -830,9 +834,6 @@ void TFLiteImporter::parseFullyConnected(const Operator& op, const std::string&
     auto options = op.builtin_options_as_FullyConnectedOptions();
     CV_Assert(options);
 
-    int idx = op.inputs()->Get(1);
-    Mat weights = allTensors[idx];
-    layerParams.blobs.resize(1, weights);
     layerParams.set("transB", true);
     layerParams.set("constB", true);
     addLayer(layerParams, op);
diff --git a/modules/dnn/test/test_tflite_importer.cpp b/modules/dnn/test/test_tflite_importer.cpp
index 26f2c373b8..291d1f50d2 100644
--- a/modules/dnn/test/test_tflite_importer.cpp
+++ b/modules/dnn/test/test_tflite_importer.cpp
@@ -240,8 +240,6 @@ TEST_P(Test_TFLite, split) {
 }
 
 TEST_P(Test_TFLite, fully_connected) {
-    if (backend == DNN_BACKEND_CUDA)
-        applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA, CV_TEST_TAG_DNN_SKIP_CUDA_FP16);
     if (backend == DNN_BACKEND_VKCOM)
         applyTestTag(CV_TEST_TAG_DNN_SKIP_VULKAN);
     testLayer("fully_connected");