diff --git a/configs/table/SLANet.yml b/configs/table/SLANet.yml
index acf8d0304558816d206a3c7f37de4aaba301683b..4858c71c28710c2f68faac6397d4f60fba7a4e95 100644
--- a/configs/table/SLANet.yml
+++ b/configs/table/SLANet.yml
@@ -54,7 +54,7 @@ Architecture:
     loc_reg_num: &loc_reg_num 4
 
 Loss:
-  name: SLANetLoss
+  name: SLALoss
   structure_weight: 1.0
   loc_weight: 2.0
   loc_loss: smooth_l1
diff --git a/ppocr/losses/__init__.py b/ppocr/losses/__init__.py
index 8f3adfccd46b7cedd3141e1cfce5baba621c8676..3ac766da92cd6d2fdd552ba28fe4d34aa8767b42 100755
--- a/ppocr/losses/__init__.py
+++ b/ppocr/losses/__init__.py
@@ -52,7 +52,7 @@ from .basic_loss import DistanceLoss
 from .combined_loss import CombinedLoss
 
 # table loss
-from .table_att_loss import TableAttentionLoss, SLANetLoss
+from .table_att_loss import TableAttentionLoss, SLALoss
 from .table_master_loss import TableMasterLoss
 # vqa token loss
 from .vqa_token_layoutlm_loss import VQASerTokenLayoutLMLoss
@@ -64,7 +64,7 @@ def build_loss(config):
         'ClsLoss', 'AttentionLoss', 'SRNLoss', 'PGLoss', 'CombinedLoss',
         'CELoss', 'TableAttentionLoss', 'SARLoss', 'AsterLoss', 'SDMGRLoss',
         'VQASerTokenLayoutLMLoss', 'LossFromOutput', 'PRENLoss', 'MultiLoss',
-        'TableMasterLoss', 'SPINAttentionLoss', 'VLLoss', 'SLANetLoss'
+        'TableMasterLoss', 'SPINAttentionLoss', 'VLLoss', 'SLALoss'
     ]
     config = copy.deepcopy(config)
     module_name = config.pop('name')
diff --git a/ppocr/losses/table_att_loss.py b/ppocr/losses/table_att_loss.py
index d97715d5419840431eaa17ea359f4b06afed26d3..f1771847b46b99d8cf2a3ae69e7e990ee02f26a5 100644
--- a/ppocr/losses/table_att_loss.py
+++ b/ppocr/losses/table_att_loss.py
@@ -55,9 +55,9 @@ class TableAttentionLoss(nn.Layer):
         }
 
 
-class SLANetLoss(nn.Layer):
+class SLALoss(nn.Layer):
     def __init__(self, structure_weight, loc_weight, loc_loss='mse', **kwargs):
-        super(SLANetLoss, self).__init__()
+        super(SLALoss, self).__init__()
         self.loss_func = nn.CrossEntropyLoss(weight=None, reduction='mean')
         self.structure_weight = structure_weight
         self.loc_weight = loc_weight