Merge e3c52da2db3648545807f782ca879070d0db286a into af4fad50b0e00946467244dc8bce4d232d2b79c2

configs/detection/fsce/README.md

@@ -73,7 +73,7 @@ bash ./tools/detection/dist_train.sh \
 # step2: reshape the bbox head of base model for few shot fine-tuning
 python -m tools.detection.misc.initialize_bbox_head \
     --src1 work_dirs/fsce_r101_fpn_voc-split1_base-training/latest.pth \
-    --method randinit \
+    --method random_init \
     --save-dir work_dirs/fsce_r101_fpn_voc-split1_base-training
 
 # step3: few shot fine-tuning

configs/detection/tfa/README.md

@@ -65,7 +65,7 @@ bash ./tools/detection/dist_train.sh \
 # step2: reshape the bbox head of base model for few shot fine-tuning
 python -m tools.detection.misc.initialize_bbox_head \
     --src1 work_dirs/tfa_r101_fpn_voc-split1_base-training/latest.pth \
-    --method randinit \
+    --method random_init \
     --save-dir work_dirs/tfa_r101_fpn_voc-split1_base-training
 
 # step3: few shot fine-tuning

docs/en/detection/customize_config.md

@@ -49,7 +49,7 @@ We follow the below style to name config files. Contributors are advised to foll
 
 ## An example of TFA
 
-To help the users have a basic idea of a complete config and the modules in a modern classification system,
+To help the users have a basic idea of a complete config and the modules in a modern detection system,
 we make brief comments on the config of TFA in coco 10 shot fine-tuning setting as the following.
 For more detailed usage and the corresponding alternative for each module, please refer to the API documentation.
 

docs/en/detection/overview.md

@@ -1,6 +1,6 @@
 # Tutorial 0: Overview of MMFewShot Detection
 
-The main difference between general classification task and few shot classification task
+The main difference between general detection task and few shot detection task
 is the data usage.
 Therefore, the design of MMFewShot targets at data flows for few shot setting based on [mmdet](https://github.com/open-mmlab/mmdetection).
 Additionally, the modules in [mmdet](https://github.com/open-mmlab/mmdetection) can be imported and reused in the code or config.