diff --git a/configs/reppoints/README.md b/configs/reppoints/README.md
index 2937113ce4d0403d52ca218d24de284aea0cbb3f..00f0ad3cec61397769d813c71a254a640a648d3d 100644
--- a/configs/reppoints/README.md
+++ b/configs/reppoints/README.md
@@ -32,25 +32,26 @@ Another feature of this repo is the demonstration of an `anchor-free detector`,
The results on COCO 2017val are shown in the table below.
-| Method | Backbone | Anchor | convert func | Lr schd | box AP | Download |
-| :----: | :------: | :-------: | :------: | :-----: | :----: | :------: |
-| BBox | R-50-FPN | single | - | 1x | 36.3|[model](https://drive.google.com/open?id=1TaVAFGZP2i7RwtlQjy3LBH1WI-YRH774) |
-| BBox | R-50-FPN | none | - | 1x | 37.3| [model](https://drive.google.com/open?id=1hpfu-I7gtZnIb0NU2WvUvaZz_dm-THuZ) |
-| RepPoints | R-50-FPN | none | partial MinMax | 1x | 38.1| [model](https://drive.google.com/open?id=11zFtdKH-QGz_zH7vlcIih6FQAjV84CWc) |
-| RepPoints | R-50-FPN | none | MinMax | 1x | 38.2| [model](https://drive.google.com/open?id=1Cg9818dpkL-9qjmYdkhrY_BRiQFjV4xu) |
-| RepPoints | R-50-FPN | none | moment | 1x | 38.2| [model](https://drive.google.com/open?id=1rQg-lE-5nuqO1bt6okeYkti4Q-EaBsu_) |
-| RepPoints | R-50-FPN | none | moment | 2x | 38.6| [model](https://drive.google.com/open?id=1TfR-5geVviKhRoXL9JP6cG3fkN2itbBU) |
-| RepPoints | R-50-FPN | none | moment | 2x (ms train) | 40.8| [model](https://drive.google.com/open?id=1oaHTIaP51oB5HJ6GWV3WYK19lMm9iJO6) |
-| RepPoints | R-50-FPN | none | moment | 2x (ms train&ms test) | 42.2| |
-| RepPoints | R-101-FPN | none | moment | 2x | 40.3| [model](https://drive.google.com/open?id=1BAmGeUQ_zVQi2u7rgOuPQem2EjXDLgWm) |
-| RepPoints | R-101-FPN | none | moment | 2x (ms train) | 42.3| [model](https://drive.google.com/open?id=14Lf0p4fXElXaxFu8stk3hek3bY8tNENX) |
-| RepPoints | R-101-FPN | none | moment | 2x (ms train&ms test) | 44.1| |
-| RepPoints | R-101-FPN-DCN | none | moment | 2x | 43.0| [model](https://drive.google.com/open?id=1hpptxpb4QtNuB-HnV5wHbDltPHhlYq4z) |
-| RepPoints | R-101-FPN-DCN | none | moment | 2x (ms train) | 44.8| [model](https://drive.google.com/open?id=1fsTckK99HYjOURwcFeHfy5JRRtsCajfX) |
-| RepPoints | R-101-FPN-DCN | none | moment | 2x (ms train&ms test) | 46.4| |
-| RepPoints | X-101-FPN-DCN | none | moment | 2x | 44.5| [model](https://drive.google.com/open?id=1Y8vqaqU88-FEqqwl6Zb9exD5O246yrMR) |
-| RepPoints | X-101-FPN-DCN | none | moment | 2x (ms train) | 45.6| [model](https://drive.google.com/open?id=1nr9gcVWxzeakbfPC6ON9yvKOuLzj_RrJ) |
-| RepPoints | X-101-FPN-DCN | none | moment | 2x (ms train&ms test) | 46.8| |
+| Method | Backbone | GN | Anchor | convert func | Lr schd | box AP | Download |
+| :----: | :------: | :-------: | :-------: | :------: | :-----: | :----: | :------: |
+| BBox | R-50-FPN | Y | single | - | 1x | 36.3|[model](https://drive.google.com/open?id=1TaVAFGZP2i7RwtlQjy3LBH1WI-YRH774) |
+| BBox | R-50-FPN | Y | none | - | 1x | 37.3| [model](https://drive.google.com/open?id=1hpfu-I7gtZnIb0NU2WvUvaZz_dm-THuZ) |
+| RepPoints | R-50-FPN | Y | none | partial MinMax | 1x | 38.1| [model](https://drive.google.com/open?id=11zFtdKH-QGz_zH7vlcIih6FQAjV84CWc) |
+| RepPoints | R-50-FPN | Y | none | MinMax | 1x | 38.2| [model](https://drive.google.com/open?id=1Cg9818dpkL-9qjmYdkhrY_BRiQFjV4xu) |
+| RepPoints | R-50-FPN | Y | none | moment | 1x | 38.2| [model](https://drive.google.com/open?id=1rQg-lE-5nuqO1bt6okeYkti4Q-EaBsu_) |
+| RepPoints | R-50-FPN | N | none | moment | 1x | 36.8| [model](https://open-mmlab.s3.ap-northeast-2.amazonaws.com/mmdetection/models/reppoints/reppoints_moment_r50_no_gn_fpn_1x-66db098e.pth) |
+| RepPoints | R-50-FPN | Y | none | moment | 2x | 38.6| [model](https://drive.google.com/open?id=1TfR-5geVviKhRoXL9JP6cG3fkN2itbBU) |
+| RepPoints | R-50-FPN | Y | none | moment | 2x (ms train) | 40.8| [model](https://drive.google.com/open?id=1oaHTIaP51oB5HJ6GWV3WYK19lMm9iJO6) |
+| RepPoints | R-50-FPN | Y | none | moment | 2x (ms train&ms test) | 42.2| |
+| RepPoints | R-101-FPN | Y | none | moment | 2x | 40.3| [model](https://drive.google.com/open?id=1BAmGeUQ_zVQi2u7rgOuPQem2EjXDLgWm) |
+| RepPoints | R-101-FPN | Y | none | moment | 2x (ms train) | 42.3| [model](https://drive.google.com/open?id=14Lf0p4fXElXaxFu8stk3hek3bY8tNENX) |
+| RepPoints | R-101-FPN | Y | none | moment | 2x (ms train&ms test) | 44.1| |
+| RepPoints | R-101-FPN-DCN | Y | none | moment | 2x | 43.0| [model](https://drive.google.com/open?id=1hpptxpb4QtNuB-HnV5wHbDltPHhlYq4z) |
+| RepPoints | R-101-FPN-DCN | Y | none | moment | 2x (ms train) | 44.8| [model](https://drive.google.com/open?id=1fsTckK99HYjOURwcFeHfy5JRRtsCajfX) |
+| RepPoints | R-101-FPN-DCN | Y | none | moment | 2x (ms train&ms test) | 46.4| |
+| RepPoints | X-101-FPN-DCN | Y | none | moment | 2x | 44.5| [model](https://drive.google.com/open?id=1Y8vqaqU88-FEqqwl6Zb9exD5O246yrMR) |
+| RepPoints | X-101-FPN-DCN | Y | none | moment | 2x (ms train) | 45.6| [model](https://drive.google.com/open?id=1nr9gcVWxzeakbfPC6ON9yvKOuLzj_RrJ) |
+| RepPoints | X-101-FPN-DCN | Y | none | moment | 2x (ms train&ms test) | 46.8| |
**Notes:**
diff --git a/configs/reppoints/reppoints_moment_r50_no_gn_fpn_1x.py b/configs/reppoints/reppoints_moment_r50_no_gn_fpn_1x.py
new file mode 100644
index 0000000000000000000000000000000000000000..053a0e7209825ef05ec0a1948379a70eda5d4b96
--- /dev/null
+++ b/configs/reppoints/reppoints_moment_r50_no_gn_fpn_1x.py
@@ -0,0 +1,137 @@
+# model settings
+model = dict(
+ type='RepPointsDetector',
+ pretrained='torchvision://resnet50',
+ backbone=dict(
+ type='ResNet',
+ depth=50,
+ num_stages=4,
+ out_indices=(0, 1, 2, 3),
+ frozen_stages=1,
+ style='pytorch'),
+ neck=dict(
+ type='FPN',
+ in_channels=[256, 512, 1024, 2048],
+ out_channels=256,
+ start_level=1,
+ add_extra_convs=True,
+ num_outs=5),
+ bbox_head=dict(
+ type='RepPointsHead',
+ num_classes=81,
+ in_channels=256,
+ feat_channels=256,
+ point_feat_channels=256,
+ stacked_convs=3,
+ num_points=9,
+ gradient_mul=0.1,
+ point_strides=[8, 16, 32, 64, 128],
+ point_base_scale=4,
+ loss_cls=dict(
+ type='FocalLoss',
+ use_sigmoid=True,
+ gamma=2.0,
+ alpha=0.25,
+ loss_weight=1.0),
+ loss_bbox_init=dict(type='SmoothL1Loss', beta=0.11, loss_weight=0.5),
+ loss_bbox_refine=dict(type='SmoothL1Loss', beta=0.11, loss_weight=1.0),
+ transform_method='moment'))
+# training and testing settings
+train_cfg = dict(
+ init=dict(
+ assigner=dict(type='PointAssigner', scale=4, pos_num=1),
+ allowed_border=-1,
+ pos_weight=-1,
+ debug=False),
+ refine=dict(
+ assigner=dict(
+ type='MaxIoUAssigner',
+ pos_iou_thr=0.5,
+ neg_iou_thr=0.4,
+ min_pos_iou=0,
+ ignore_iof_thr=-1),
+ allowed_border=-1,
+ pos_weight=-1,
+ debug=False))
+test_cfg = dict(
+ nms_pre=1000,
+ min_bbox_size=0,
+ score_thr=0.05,
+ nms=dict(type='nms', iou_thr=0.5),
+ max_per_img=100)
+# dataset settings
+dataset_type = 'CocoDataset'
+data_root = 'data/coco/'
+img_norm_cfg = dict(
+ mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
+train_pipeline = [
+ dict(type='LoadImageFromFile'),
+ dict(type='LoadAnnotations', with_bbox=True),
+ dict(type='Resize', img_scale=(1333, 800), keep_ratio=True),
+ dict(type='RandomFlip', flip_ratio=0.5),
+ dict(type='Normalize', **img_norm_cfg),
+ dict(type='Pad', size_divisor=32),
+ dict(type='DefaultFormatBundle'),
+ dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']),
+]
+test_pipeline = [
+ dict(type='LoadImageFromFile'),
+ dict(
+ type='MultiScaleFlipAug',
+ img_scale=(1333, 800),
+ flip=False,
+ transforms=[
+ dict(type='Resize', keep_ratio=True),
+ dict(type='RandomFlip'),
+ dict(type='Normalize', **img_norm_cfg),
+ dict(type='Pad', size_divisor=32),
+ dict(type='ImageToTensor', keys=['img']),
+ dict(type='Collect', keys=['img']),
+ ])
+]
+data = dict(
+ imgs_per_gpu=2,
+ workers_per_gpu=2,
+ train=dict(
+ type=dataset_type,
+ ann_file=data_root + 'annotations/instances_train2017.json',
+ img_prefix=data_root + 'train2017/',
+ pipeline=train_pipeline),
+ val=dict(
+ type=dataset_type,
+ ann_file=data_root + 'annotations/instances_val2017.json',
+ img_prefix=data_root + 'val2017/',
+ pipeline=test_pipeline),
+ test=dict(
+ type=dataset_type,
+ ann_file=data_root + 'annotations/instances_val2017.json',
+ img_prefix=data_root + 'val2017/',
+ pipeline=test_pipeline))
+# optimizer
+optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)
+optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
+# learning policy
+lr_config = dict(
+ policy='step',
+ warmup='linear',
+ warmup_iters=500,
+ warmup_ratio=1.0 / 3,
+ step=[8, 11])
+checkpoint_config = dict(interval=1)
+# yapf:disable
+log_config = dict(
+ interval=50,
+ hooks=[
+ dict(type='TextLoggerHook'),
+ # dict(type='TensorboardLoggerHook')
+ ])
+# yapf:enable
+# runtime settings
+total_epochs = 12
+dist_params = dict(backend='nccl')
+log_level = 'INFO'
+work_dir = './work_dirs/reppoints_moment_r50_no_gn_fpn_1x'
+load_from = None
+resume_from = None
+auto_resume = True
+workflow = [('train', 1)]