diff --git a/mmcls/datasets/pipelines/transforms.py b/mmcls/datasets/pipelines/transforms.py
index 08a9e410e..750b3ee0e 100644
--- a/mmcls/datasets/pipelines/transforms.py
+++ b/mmcls/datasets/pipelines/transforms.py
@@ -146,7 +146,8 @@ class RandomResizedCrop(object):
                  size,
                  scale=(0.08, 1.0),
                  ratio=(3. / 4., 4. / 3.),
-                 interpolation='bilinear'):
+                 interpolation='bilinear',
+                 backend='cv2'):
         if isinstance(size, (tuple, list)):
             self.size = size
         else:
@@ -154,10 +155,14 @@ class RandomResizedCrop(object):
         if (scale[0] > scale[1]) or (ratio[0] > ratio[1]):
             raise ValueError("range should be of kind (min, max). "
                              f"But received {scale}")
+        if backend not in ['cv2', 'pillow']:
+            raise ValueError(f'backend: {backend} is not supported for resize.'
+                             'Supported backends are "cv2", "pillow"')
 
         self.interpolation = interpolation
         self.scale = scale
         self.ratio = ratio
+        self.backend = backend
 
     @staticmethod
     def get_params(img, scale, ratio):
@@ -225,7 +230,10 @@ class RandomResizedCrop(object):
                     xmin + target_height - 1
                 ]))
             results[key] = mmcv.imresize(
-                img, tuple(self.size[::-1]), interpolation=self.interpolation)
+                img,
+                tuple(self.size[::-1]),
+                interpolation=self.interpolation,
+                backend=self.backend)
         return results
 
     def __repr__(self):
@@ -333,7 +341,7 @@ class Resize(object):
             More details can be found in `mmcv.image.geometric`.
     """
 
-    def __init__(self, size, interpolation='bilinear'):
+    def __init__(self, size, interpolation='bilinear', backend='cv2'):
         assert isinstance(size, int) or (isinstance(size, tuple)
                                          and len(size) == 2)
         if isinstance(size, int):
@@ -341,11 +349,15 @@ class Resize(object):
         assert size[0] > 0 and size[1] > 0
         assert interpolation in ("nearest", "bilinear", "bicubic", "area",
                                  "lanczos")
+        if backend not in ['cv2', 'pillow']:
+            raise ValueError(f'backend: {backend} is not supported for resize.'
+                             'Supported backends are "cv2", "pillow"')
 
         self.height = size[0]
         self.width = size[1]
         self.size = size
         self.interpolation = interpolation
+        self.backend = backend
 
     def _resize_img(self, results):
         for key in results.get('img_fields', ['img']):
@@ -353,7 +365,8 @@ class Resize(object):
                 results[key],
                 size=(self.width, self.height),
                 interpolation=self.interpolation,
-                return_scale=False)
+                return_scale=False,
+                backend=self.backend)
             results[key] = img
             results['img_shape'] = img.shape