diff --git a/README.md b/README.md
index e8d45af64fa3b0dcc942a1b54a1e494fba1d8473..5935a541a3ea1fd3c8b2ae436f7d5c29c367265b 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ Please refer to [changelog.md](docs/changelog.md) for details and release histor
 ## Benchmark and model zoo
 
 Supported methods and backbones are shown in the below table.
-Results and models are available in the [Model zoo](docs/MODEL_ZOO.md).
+Results and models are available in the [model zoo](docs/MODEL_ZOO.md).
 
 |                    | ResNet   | ResNeXt  | SENet    | VGG      | HRNet |
 |--------------------|:--------:|:--------:|:--------:|:--------:|:-----:|
@@ -71,18 +71,22 @@ Results and models are available in the [Model zoo](docs/MODEL_ZOO.md).
 | FreeAnchor         | 鉁�        | 鉁�        | 鈽�        | 鉁�        | 鉁�     |
 | NAS-FPN            | 鉁�        | 鉁�        | 鈽�        | 鉁�        | 鉁�     |
 | ATSS               | 鉁�        | 鉁�        | 鈽�        | 鉁�        | 鉁�     |
+| FSAF               | 鉁�        | 鉁�        | 鈽�        | 鉁�        | 鉁�     |
+| PAFPN              | 鉁�        | 鉁�        | 鈽�        | 鉁�        | 鉁�     |
 
 Other features
 - [x] [CARAFE](configs/carafe/README.md)
 - [x] [DCNv2](configs/dcn/README.md)
 - [x] [Group Normalization](configs/gn/README.md)
 - [x] [Weight Standardization](configs/gn+ws/README.md)
-- [x] [OHEM](configs/faster_rcnn_ohem_r50_fpn_1x_coco.py)
-- [x] Soft-NMS
+- [x] [OHEM](configs/faster_rcnn/faster_rcnn_r50_fpn_ohem_1x_coco.py)
+- [x] [Soft-NMS](configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py)
 - [x] [Generalized Attention](configs/empirical_attention/README.md)
 - [x] [GCNet](configs/gcnet/README.md)
-- [x] [Mixed Precision (FP16) Training](configs/fp16)
+- [x] [Mixed Precision (FP16) Training](configs/fp16/README.md)
 - [x] [InstaBoost](configs/instaboost/README.md)
+- [x] [FSAF](configs/fsaf/README.md)
+- [x] [PAFPN](configs/pafpn/README.md)
 
 
 ## Installation
diff --git a/configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py b/configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py
new file mode 100644
index 0000000000000000000000000000000000000000..05f61483e4b3dbb6f3469e72fada40cb97881dff
--- /dev/null
+++ b/configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py
@@ -0,0 +1,11 @@
+_base_ = [
+    '../_base_/models/faster_rcnn_r50_fpn.py',
+    '../_base_/datasets/coco_detection.py',
+    '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
+]
+
+test_cfg = dict(
+    rcnn=dict(
+        score_thr=0.05,
+        nms=dict(type='soft_nms', iou_thr=0.5),
+        max_per_img=100))
diff --git a/docs/model_zoo.md b/docs/model_zoo.md
index fb0f38a08dd59b12f7e42151d028c74a74b1747f..57c76815c2f79b6d856cccee218f27293f08bde9 100644
--- a/docs/model_zoo.md
+++ b/docs/model_zoo.md
@@ -127,6 +127,19 @@ Please refer to [ATSS](https://github.com/open-mmlab/mmdetection/blob/master/con
 We also benchmark some methods on [PASCAL VOC](https://github.com/open-mmlab/mmdetection/blob/master/configs/pascal_voc), [Cityscapes](https://github.com/open-mmlab/mmdetection/blob/master/configs/cityscapes) and [WIDER FACE](https://github.com/open-mmlab/mmdetection/blob/master/configs/wider_face).
 
 
+## Speed benchmark
+We compare the training speed of Mask R-CNN with some other popular frameworks (The data is copied from [detectron2](https://github.com/facebookresearch/detectron2/blob/master/docs/notes/benchmarks.md)).
+
+| Implementation       | Throughput (img/s) |
+|----------------------|--------------------|
+| [Detectron2](https://github.com/facebookresearch/detectron2) | 61 |
+| [MMDetection](https://github.com/open-mmlab/mmdetection) | 60 |
+| [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark/)   | 51 |
+| [tensorpack](https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN) | 50 |
+| [simpledet](https://github.com/TuSimple/simpledet/) | 39 |
+| [Detectron](https://github.com/facebookresearch/Detectron) | 19 |
+| [matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN/) | 14 |
+
 ## Comparison with Detectron2
 
 We compare mmdetection with [Detectron2](https://github.com/facebookresearch/detectron2.git) in terms of speed and performance.
diff --git a/requirements/build.txt b/requirements/build.txt
index 84c500a07f493a6f6bf1dee4585c264467cae861..0da9929b1cdcdc5f5942c10c0093ff017b29519c 100644
--- a/requirements/build.txt
+++ b/requirements/build.txt
@@ -1,3 +1,3 @@
 # These must be installed before building mmdetection
 numpy
-torch>=1.1
+torch>=1.3
diff --git a/requirements/runtime.txt b/requirements/runtime.txt
index 13194bca0e83e3d32e663684267bc032503deaff..8b3b12af2a5d393e60a9e63c731b3d6c7bc02cfe 100644
--- a/requirements/runtime.txt
+++ b/requirements/runtime.txt
@@ -1,9 +1,9 @@
 matplotlib
-mmcv>=0.5.0
+mmcv>=0.5.1
 numpy
 # need older pillow until torchvision is fixed
 Pillow<=6.2.2
 six
 terminaltables
-torch>=1.1
+torch>=1.3
 torchvision