diff --git a/configs/sr/sr_telescope.yml b/configs/sr/sr_telescope.yml
index dc0b195ba6a7e5d3cf34f811bc6bf6e58fd98ea6..33d07e8f2189a042de9541c68b06f6a6366147fb 100644
--- a/configs/sr/sr_telescope.yml
+++ b/configs/sr/sr_telescope.yml
@@ -80,5 +80,5 @@ Eval:
     shuffle: False
     drop_last: False
     batch_size_per_card: 16
-    num_workers: 0
+    num_workers: 4
 
diff --git a/doc/imgs_results/sr_word_52.png b/doc/imgs_results/sr_word_52.png
new file mode 100644
index 0000000000000000000000000000000000000000..c983e9ad7a82573e42d9f52248c0ec535c455197
Binary files /dev/null and b/doc/imgs_results/sr_word_52.png differ
diff --git a/ppocr/losses/__init__.py b/ppocr/losses/__init__.py
index 46d6e81f29bb53fd5bcbfcef6ec183e7e69df76c..cfa9d5fad5811dd3e9f77c28f4c58a95cd15afe8 100755
--- a/ppocr/losses/__init__.py
+++ b/ppocr/losses/__init__.py
@@ -25,6 +25,8 @@ from .det_east_loss import EASTLoss
 from .det_sast_loss import SASTLoss
 from .det_pse_loss import PSELoss
 from .det_fce_loss import FCELoss
+from .det_ct_loss import CTLoss
+from .det_drrg_loss import DRRGLoss
 
 # rec loss
 from .rec_ctc_loss import CTCLoss
@@ -37,6 +39,7 @@ from .rec_pren_loss import PRENLoss
 from .rec_multi_loss import MultiLoss
 from .rec_vl_loss import VLLoss
 from .rec_spin_att_loss import SPINAttentionLoss
+from .rec_rfl_loss import RFLLoss
 
 # cls loss
 from .cls_loss import ClsLoss
@@ -69,7 +72,7 @@ def build_loss(config):
         'CELoss', 'TableAttentionLoss', 'SARLoss', 'AsterLoss', 'SDMGRLoss',
         'VQASerTokenLayoutLMLoss', 'LossFromOutput', 'PRENLoss', 'MultiLoss',
         'TableMasterLoss', 'SPINAttentionLoss', 'VLLoss', 'StrokeFocusLoss',
-        'SLALoss', 'TelescopeLoss'
+        'SLALoss', 'CTLoss', 'RFLLoss', 'DRRGLoss', 'TelescopeLoss'
     ]
     config = copy.deepcopy(config)
     module_name = config.pop('name')
diff --git a/test_tipc/configs/sr_telescope/sr_telescope.yml b/test_tipc/configs/sr_telescope/sr_telescope.yml
new file mode 100644
index 0000000000000000000000000000000000000000..d3c10448e423ff0305950ea39664379e60f8a113
--- /dev/null
+++ b/test_tipc/configs/sr_telescope/sr_telescope.yml
@@ -0,0 +1,84 @@
+Global:
+  use_gpu: true
+  epoch_num: 2
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: ./output/sr/sr_telescope/
+  save_epoch_step: 3
+  # evaluation is run every 2000 iterations
+  eval_batch_step: [0, 1000]
+  cal_metric_during_train: False
+  pretrained_model:
+  checkpoints:
+  save_inference_dir:  ./output/sr/sr_telescope/infer
+  use_visualdl: False
+  infer_img: doc/imgs_words_en/word_52.png
+  # for data or label process
+  character_dict_path:
+  max_text_length: 100
+  infer_mode: False
+  use_space_char: False
+  save_res_path: ./output/sr/predicts_telescope.txt
+
+Optimizer:
+  name: Adam
+  beta1: 0.5
+  beta2: 0.999
+  clip_norm: 0.25
+  lr:
+    learning_rate: 0.0001
+
+Architecture:
+  model_type: sr
+  algorithm: Telescope
+  Transform:
+    name: TBSRN
+    STN: True
+    infer_mode: False
+
+Loss:
+  name: TelescopeLoss
+  confuse_dict_path: ./ppocr/utils/dict/confuse.pkl
+
+
+PostProcess:
+  name: None
+
+Metric:
+  name: SRMetric
+  main_indicator: all
+
+Train:
+  dataset:
+    name: LMDBDataSetSR
+    data_dir: ./train_data/TextZoom/train
+    transforms:
+      - SRResize:
+          imgH: 32
+          imgW: 128
+          down_sample_scale: 2
+      - KeepKeys:
+          keep_keys: ['img_lr', 'img_hr', 'label'] # dataloader will return list in this order
+  loader:
+    shuffle: False
+    batch_size_per_card: 16
+    drop_last: True
+    num_workers: 4
+
+Eval:
+  dataset:
+    name: LMDBDataSetSR
+    data_dir: ./train_data/TextZoom/test
+    transforms:
+      - SRResize:
+          imgH: 32
+          imgW: 128
+          down_sample_scale: 2
+      - KeepKeys:
+          keep_keys: ['img_lr', 'img_hr', 'label'] # dataloader will return list in this order
+  loader:
+    shuffle: False
+    drop_last: False
+    batch_size_per_card: 16
+    num_workers: 4
+
diff --git a/test_tipc/configs/sr_telescope/train_infer_python.txt b/test_tipc/configs/sr_telescope/train_infer_python.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4dcfa29ee146b3b2662122966d859142bb0ed0c5
--- /dev/null
+++ b/test_tipc/configs/sr_telescope/train_infer_python.txt
@@ -0,0 +1,53 @@
+===========================train_params===========================
+model_name:sr_telescope
+python:python3.7
+gpu_list:0|0,1
+Global.use_gpu:True|True
+Global.auto_cast:null
+Global.epoch_num:lite_train_lite_infer=2|whole_train_whole_infer=300
+Global.save_model_dir:./output/
+Train.loader.batch_size_per_card:lite_train_lite_infer=16|whole_train_whole_infer=16
+Global.pretrained_model:null
+train_model_name:latest
+train_infer_img_dir:./inference/sr_inference
+null:null
+##
+trainer:norm_train
+norm_train:tools/train.py -c test_tipc/configs/sr_telescope/sr_telescope.yml -o
+pact_train:null
+fpgm_train:null
+distill_train:null
+null:null
+null:null
+##
+===========================eval_params===========================
+eval:tools/eval.py -c test_tipc/configs/sr_telescope/sr_telescope.yml -o
+null:null
+##
+===========================infer_params===========================
+Global.save_inference_dir:./output/
+Global.checkpoints:
+norm_export:tools/export_model.py -c test_tipc/configs/sr_telescope/sr_telescope.yml -o
+quant_export:null
+fpgm_export:null
+distill_export:null
+export1:null
+export2:null
+##
+train_model:./inference/sr_telescope_train/best_accuracy
+infer_export:tools/export_model.py -c test_tipc/configs/sr_telescope/sr_telescope.yml -o
+infer_quant:False
+inference:tools/infer/predict_sr.py --sr_image_shape="1,32,128" --rec_algorithm="Telescope" --min_subgraph_size=5
+--use_gpu:True|False
+--enable_mkldnn:False
+--cpu_threads:6
+--rec_batch_num:1
+--use_tensorrt:False
+--precision:fp32
+--rec_model_dir:
+--image_dir:./inference/sr_inference
+--save_log_path:./test/output/
+--benchmark:True
+null:null
+===========================infer_benchmark_params==========================
+random_infer_input:[{float32,[1,32,128]}]