diff --git a/include/tim/vx/ops/unmaxpool2d.h b/include/tim/vx/ops/maxunpool2d.h
similarity index 88%
rename from include/tim/vx/ops/unmaxpool2d.h
rename to include/tim/vx/ops/maxunpool2d.h
index a65b9d7..943985c 100644
--- a/include/tim/vx/ops/unmaxpool2d.h
+++ b/include/tim/vx/ops/maxunpool2d.h
@@ -21,8 +21,8 @@
 *    DEALINGS IN THE SOFTWARE.
 *
 *****************************************************************************/
-#ifndef TIM_VX_OPS_UNMAXPOOL2D_H_
-#define TIM_VX_OPS_UNMAXPOOL2D_H_
+#ifndef TIM_VX_OPS_MAXUNPOOL2D_H_
+#define TIM_VX_OPS_MAXUNPOOL2D_H_
 
 #include <array>
 
@@ -34,7 +34,7 @@ namespace vx {
 namespace ops {
 
 /**
- * ## UnMaxpool2d
+ * ## MaxUnpool2d
  *
  * Performs an 2-D Max pooling operation upsample 
  *
@@ -42,9 +42,9 @@ namespace ops {
  * - ksize : filter size.
  */
 
-class UnMaxpool2d : public Operation {
+class MaxUnpool2d : public Operation {
  public:
-  UnMaxpool2d(Graph* graph, const std::array<uint32_t, 2>& ksize,
+  MaxUnpool2d(Graph* graph, const std::array<uint32_t, 2>& ksize,
          const std::array<uint32_t, 2>& stride, DataLayout layout = DataLayout::WHCN);
 
  protected:
@@ -56,4 +56,4 @@ class UnMaxpool2d : public Operation {
 }  // namespace vx
 }  // namespace tim
 
-#endif /* TIM_VX_OPS_UNMAXPOOL2D_H_ */
+#endif /* TIM_VX_OPS_MAXUNPOOL2D_H_ */
diff --git a/src/tim/vx/ops/README.md b/src/tim/vx/ops/README.md
index c91b8b2..0e3afee 100644
--- a/src/tim/vx/ops/README.md
+++ b/src/tim/vx/ops/README.md
@@ -18,7 +18,7 @@ DeConv2d|DECONVOLUTION|Mapped|[tf.nn.conv2d_transpose](https://tensorflow.google
 Reshape|RESHAPE|Mapped|[tf.reshape](https://tensorflow.google.cn/api_docs/python/tf/reshape)
 Transpose|PERMUTE|Mapped|[tf.transpose](https://tensorflow.google.cn/api_docs/python/tf/transpose)
 Prelu|PRELU|Mapped|[tf.keras.layers.PReLU](https://tensorflow.google.cn/api_docs/python/tf/keras/layers/PReLU)
-UnMaxpool2d|UPSAMPLE|Mapped| Recover pixel from the outputs of MaxpoolWithArgmax.
+MaxUnpool2d|UPSAMPLE|Mapped| Recover pixel from the outputs of MaxpoolWithArgmax.
 Relu|RELU|Mapped|[tf.nn.relu](https://tensorflow.google.cn/api_docs/python/tf/nn/relu)
 ||RELUN|Deprecated|[tf.keras.layers.ReLU(max_value=N)](https://tensorflow.google.cn/api_docs/python/tf/keras/layers/ReLU)
 Reorg|REORG|Mapped|[darknet.reorg](https://github.com/pjreddie/darknet/blob/master/src/reorg_layer.c)
diff --git a/src/tim/vx/ops/unmaxpool2d.cc b/src/tim/vx/ops/maxunpool2d.cc
similarity index 95%
rename from src/tim/vx/ops/unmaxpool2d.cc
rename to src/tim/vx/ops/maxunpool2d.cc
index 9da4166..a50e198 100644
--- a/src/tim/vx/ops/unmaxpool2d.cc
+++ b/src/tim/vx/ops/maxunpool2d.cc
@@ -21,7 +21,7 @@
 *    DEALINGS IN THE SOFTWARE.
 *
 *****************************************************************************/
-#include "tim/vx/ops/unmaxpool2d.h"
+#include "tim/vx/ops/maxunpool2d.h"
 
 #include "operation_private.h"
 #include "type_utils.h"
@@ -31,7 +31,7 @@ namespace tim {
 namespace vx {
 namespace ops {
 
-UnMaxpool2d::UnMaxpool2d(Graph* graph, const std::array<uint32_t, 2>& ksize,
+MaxUnpool2d::MaxUnpool2d(Graph* graph, const std::array<uint32_t, 2>& ksize,
     const std::array<uint32_t, 2>& stride, DataLayout layout)
     : Operation(graph, VSI_NN_OP_UPSAMPLE, 2, 1, layout),
       ksize_(ksize), stride_(stride) {
diff --git a/src/tim/vx/ops/unmaxpool2d_test.cc b/src/tim/vx/ops/maxunpool2d_test.cc
similarity index 94%
rename from src/tim/vx/ops/unmaxpool2d_test.cc
rename to src/tim/vx/ops/maxunpool2d_test.cc
index 61e3b45..4704ec0 100644
--- a/src/tim/vx/ops/unmaxpool2d_test.cc
+++ b/src/tim/vx/ops/maxunpool2d_test.cc
@@ -23,11 +23,11 @@
 *****************************************************************************/
 #include "tim/vx/context.h"
 #include "tim/vx/graph.h"
-#include "tim/vx/ops/unmaxpool2d.h"
+#include "tim/vx/ops/maxunpool2d.h"
 
 #include "gtest/gtest.h"
 
-TEST(UnMaxpool2d, shape_2_2_1_fp32_kernel_2_stride_2) {
+TEST(MaxUnpool2d, shape_2_2_1_fp32_kernel_2_stride_2) {
     auto ctx = tim::vx::Context::Create();
     auto graph = ctx->CreateGraph();
 
@@ -59,7 +59,7 @@ TEST(UnMaxpool2d, shape_2_2_1_fp32_kernel_2_stride_2) {
     EXPECT_TRUE(indices_tensor->CopyDataToTensor(indices.data(), indices.size()*4));
     std::array<uint32_t, 2> ksize = {2, 2};
     std::array<uint32_t, 2> stride = {2, 2};
-    auto op = graph->CreateOperation<tim::vx::ops::UnMaxpool2d>(ksize, stride);
+    auto op = graph->CreateOperation<tim::vx::ops::MaxUnpool2d>(ksize, stride);
     (*op).BindInputs({values_tensor, indices_tensor}).BindOutputs({output_tensor});
 
     EXPECT_TRUE(graph->Compile());
@@ -70,7 +70,7 @@ TEST(UnMaxpool2d, shape_2_2_1_fp32_kernel_2_stride_2) {
     EXPECT_EQ(golden, output);
 }
 
-TEST(UnMaxpool2d, shape_2_2_1_uint8_kernel_2_stride_2) {
+TEST(MaxUnpool2d, shape_2_2_1_uint8_kernel_2_stride_2) {
     auto ctx = tim::vx::Context::Create();
     auto graph = ctx->CreateGraph();
 
@@ -104,7 +104,7 @@ TEST(UnMaxpool2d, shape_2_2_1_uint8_kernel_2_stride_2) {
     EXPECT_TRUE(indices_tensor->CopyDataToTensor(indices.data(), indices.size()));
     std::array<uint32_t, 2> ksize = {2, 2};
     std::array<uint32_t, 2> stride = {2, 2};
-    auto op = graph->CreateOperation<tim::vx::ops::UnMaxpool2d>(ksize, stride);
+    auto op = graph->CreateOperation<tim::vx::ops::MaxUnpool2d>(ksize, stride);
     (*op).BindInputs({values_tensor, indices_tensor}).BindOutputs({output_tensor});
 
     EXPECT_TRUE(graph->Compile());