diff --git a/tests/test_models/test_detector.py b/tests/test_models/test_detector.py
index f83ae9cf..b0c13fa5 100644
--- a/tests/test_models/test_detector.py
+++ b/tests/test_models/test_detector.py
@@ -261,7 +261,6 @@ def test_psenet(cfg_file):
     detector.show_result(img, results)
 
 
-@pytest.mark.skip(reason='TODO: re-enable after CI support pytorch>1.4')
 @pytest.mark.parametrize('cfg_file', [
     'textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py',
     'textdet/dbnet/dbnet_r50dcnv2_fpnc_1200e_icdar2015.py'
diff --git a/tests/test_models/test_ocr_neck.py b/tests/test_models/test_ocr_neck.py
index 8af3e971..53f46d61 100644
--- a/tests/test_models/test_ocr_neck.py
+++ b/tests/test_models/test_ocr_neck.py
@@ -18,7 +18,6 @@ def test_char_attn():
     assert out_feat_map.shape == torch.Size([1, 128, 32, 32])
 
 
-@pytest.mark.skip(reason='TODO: re-enable after CI support pytorch>1.4')
 def test_feat_generator():
     in_feat = torch.rand(1, 128, 32, 32)
     feat_generator = FeatGenerator(in_channels=128, out_channels=128)
@@ -28,7 +27,6 @@ def test_feat_generator():
     assert feat_map.shape == torch.Size([1, 128, 32, 32])
 
 
-@pytest.mark.skip(reason='TODO: re-enable after CI support pytorch>1.4')
 def test_cafcn_neck():
     in_s1 = torch.rand(1, 64, 64, 64)
     in_s2 = torch.rand(1, 128, 32, 32)
diff --git a/tests/test_models/test_recognizer.py b/tests/test_models/test_recognizer.py
index 54f66ca6..29f4ded0 100644
--- a/tests/test_models/test_recognizer.py
+++ b/tests/test_models/test_recognizer.py
@@ -81,7 +81,6 @@ def test_base_recognizer():
     tmp_dir.cleanup()
 
 
-@pytest.mark.skip(reason='TODO: re-enable after CI support pytorch>1.4')
 def test_seg_recognizer():
     tmp_dir = tempfile.TemporaryDirectory()
     # create dummy data