diff --git a/tests/validation/fixtures/CropResizeFixture.h b/tests/validation/fixtures/CropResizeFixture.h
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+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE
+#define ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/RawLutAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/CropResize.h"
+#include "tests/validation/reference/Permute.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class CropResizeFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape boxes_shape, Coordinates2D crop_size, InterpolationPolicy method,
+               float extrapolation_value, bool is_outside_bounds, DataType data_type)
+    {
+        _target    = compute_target(src_shape, boxes_shape, crop_size, method, extrapolation_value, is_outside_bounds, data_type);
+        _reference = compute_reference(src_shape, boxes_shape, crop_size, method, extrapolation_value, is_outside_bounds, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    template <typename U, typename V>
+    void fill(U &&tensor, int i, V min, V max)
+    {
+        library->fill_tensor_uniform(tensor, i, min, max);
+    }
+
+    TensorType compute_target(const TensorShape &src_shape, const TensorShape &boxes_shape, const Coordinates2D &crop_size, InterpolationPolicy method,
+                              float extrapolation_value, bool is_outside_bounds, DataType data_type)
+    {
+        TensorShape dst_shape(src_shape[0], crop_size.x, crop_size.y, boxes_shape[1]);
+
+        // Create tensors
+        TensorType src       = create_tensor<TensorType>(src_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC);
+        TensorType boxes     = create_tensor<TensorType>(boxes_shape, DataType::F32);
+        TensorType boxes_ind = create_tensor<TensorType>(TensorShape(boxes_shape[1]), DataType::S32);
+        TensorType dst       = create_tensor<TensorType>(dst_shape, DataType::F32, 1, QuantizationInfo(), DataLayout::NHWC);
+
+        // Create and configure function
+        FunctionType crop;
+        crop.configure(&src, &boxes, &boxes_ind, &dst, crop_size, method, extrapolation_value);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(boxes.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(boxes_ind.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        boxes.allocator()->allocate();
+        boxes_ind.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!boxes.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!boxes_ind.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), 0);
+        fill(AccessorType(boxes), 1, is_outside_bounds ? 0.0f - out_of_bounds_reach : 0.0f, is_outside_bounds ? 1.0f + out_of_bounds_reach : 1.0f);
+        fill(AccessorType(boxes_ind), 2, 0, static_cast<int32_t>(src_shape[3] - 1));
+
+        // Compute function
+        crop.run();
+        return dst;
+    }
+
+    SimpleTensor<float> compute_reference(const TensorShape &src_shape, const TensorShape &boxes_shape, const Coordinates2D &crop_size, InterpolationPolicy method,
+                                          float extrapolation_value, bool is_outside_bounds, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T>       src{ src_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC };
+        SimpleTensor<float>   boxes{ boxes_shape, DataType::F32 };
+        SimpleTensor<int32_t> boxes_ind{ TensorShape(boxes_shape[1]), DataType::S32 };
+
+        // Fill reference
+        fill(src, 0);
+        fill(boxes, 1, is_outside_bounds ? 0.0f - out_of_bounds_reach : 0.0f, is_outside_bounds ? 1.0f + out_of_bounds_reach : 1.0f);
+        fill(boxes_ind, 2, 0, static_cast<int32_t>(src.shape()[3] - 1));
+
+        SimpleTensor<float> output = reference::crop_and_resize(src, boxes, boxes_ind, crop_size, method, extrapolation_value);
+
+        SimpleTensor<float> permuted = reference::permute(output, PermutationVector(1, 2U, 0U));
+        return permuted;
+    }
+
+    constexpr static float out_of_bounds_reach = 2.0f;
+
+    TensorType          _target{};
+    SimpleTensor<float> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SLICE_OPERATIONS_FIXTURE */