diff --git a/MODEL_ZOO.md b/MODEL_ZOO.md
index 52dc1513e4e47403190d2dfd31daf9194dae5754..3d2eaae6bf4d822b29b1473067f4dd92d18d9ed3 100644
--- a/MODEL_ZOO.md
+++ b/MODEL_ZOO.md
@@ -189,18 +189,11 @@ More models with different backbones will be added to the model zoo.
| VGG16 | 300 | caffe | 120e | 3.5 | 0.256 | 25.9 / 34.6 | 25.7 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd300_coco_vgg16_caffe_120e_20181221-84d7110b.pth) |
| VGG16 | 512 | caffe | 120e | 7.6 | 0.412 | 20.7 / 25.4 | 29.3 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd512_coco_vgg16_caffe_120e_20181221-d48b0be8.pth) |
-### SSD (PASCAL VOC)
-
-| Backbone | Size | Style | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | Download |
-| :------: | :---: | :---: | :-----: | :------: | :-----------------: | :------------: | :----: | :------------------------------------------------------------------------------------------------------------------------------: |
-| VGG16 | 300 | caffe | 240e | 2.5 | 0.159 | 35.7 / 53.6 | 77.5 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd300_voc_vgg16_caffe_240e_20190501-7160d09a.pth) |
-| VGG16 | 512 | caffe | 240e | 4.3 | 0.214 | 27.5 / 35.9 | 80.0 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd512_voc_vgg16_caffe_240e_20190501-ff194be1.pth) |
-
**Notes:**
- `cudnn.benchmark` is set as `True` for SSD training and testing.
- Inference time is reported for batch size = 1 and batch size = 8.
-- The speed difference between VOC and COCO is caused by model parameters and nms.
+- The speed on COCO and VOC are different due to model parameters and nms.
### Group Normalization (GN)
@@ -222,6 +215,38 @@ Please refer to [Libra R-CNN](configs/libra_rcnn/README.md) for details.
Please refer to [Guided Anchoring](configs/guided_anchoring/README.md) for details.
+### FCOS
+
+Please refer to [FCOS](configs/fcos/README.md) for details.
+
+### Grid R-CNN (plus)
+
+Please refer to [Grid R-CNN](configs/grid_rcnn/README.md) for details.
+
+### GHM
+
+Please refer to [GHM](configs/ghm/README.md) for details.
+
+### GCNet
+
+Please refer to [GCNet](configs/gcnet/README.md) for details.
+
+### HRNet
+Please refer to [HRNet](configs/hrnet/README.md) for details.
+
+### Mask Scoring R-CNN
+
+Please refer to [Mask Scoring R-CNN](configs/ms_rcnn/README.md) for details.
+
+### Train from Scratch
+
+Please refer to [Rethinking ImageNet Pre-training](configs/scratch/README.md) for details.
+
+### Other datasets
+
+We also benchmark some methods on [PASCAL VOC](configs/pascal_voc/README.md), [Cityscapes](configs/cityscapes/README.md) and [WIDER FACE](configs/wider_face/README.md).
+
+
## Comparison with Detectron and maskrcnn-benchmark
We compare mmdetection with [Detectron](https://github.com/facebookresearch/Detectron)
diff --git a/README.md b/README.md
index 6b20f8654f8d317b8ec88fe1201560d8d4c82248..9aaeb4af6a42113b7e6bf325f241fa52b86bce7e 100644
--- a/README.md
+++ b/README.md
@@ -100,6 +100,7 @@ Results and models are available in the [Model zoo](MODEL_ZOO.md).
| GHM | ✓ | ✓ | ☠| ✗ | ✓ |
| Mask Scoring R-CNN | ✓ | ✓ | ☠| ✗ | ✓ |
| FCOS | ✓ | ✓ | ☠| ✗ | ✓ |
+| Double-Head R-CNN | ✓ | ✓ | ☠| ✗ | ✓ |
| Grid R-CNN (Plus) | ✓ | ✓ | ☠| ✗ | ✓ |
| Hybrid Task Cascade| ✓ | ✓ | ☠| ✗ | ✓ |
| Libra R-CNN | ✓ | ✓ | ☠| ✗ | ✓ |
@@ -142,12 +143,14 @@ If you use this toolbox or benchmark in your research, please cite this project.
```
@article{mmdetection,
title = {{MMDetection}: Open MMLab Detection Toolbox and Benchmark},
- author = {Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li,
- Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng,
- Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu,
- Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin},
- journal = {arXiv preprint arXiv:1906.07155},
- year = {2019}
+ author = {Chen, Kai and Wang, Jiaqi and Pang, Jiangmiao and Cao, Yuhang and
+ Xiong, Yu and Li, Xiaoxiao and Sun, Shuyang and Feng, Wansen and
+ Liu, Ziwei and Xu, Jiarui and Zhang, Zheng and Cheng, Dazhi and
+ Zhu, Chenchen and Cheng, Tianheng and Zhao, Qijie and Li, Buyu and
+ Lu, Xin and Zhu, Rui and Wu, Yue and Dai, Jifeng and Wang, Jingdong
+ and Shi, Jianping and Ouyang, Wanli and Loy, Chen Change and Lin, Dahua},
+ journal= {arXiv preprint arXiv:1906.07155},
+ year={2019}
}
```
diff --git a/configs/pascal_voc/README.md b/configs/pascal_voc/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..a317dfd9a438b0851a623a75840826c47c41e9d6
--- /dev/null
+++ b/configs/pascal_voc/README.md
@@ -0,0 +1,6 @@
+### SSD
+
+| Backbone | Size | Style | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | Download |
+| :------: | :---: | :---: | :-----: | :------: | :-----------------: | :------------: | :----: | :------------------------------------------------------------------------------------------------------------------------------: |
+| VGG16 | 300 | caffe | 240e | 2.5 | 0.159 | 35.7 / 53.6 | 77.5 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd300_voc_vgg16_caffe_240e_20190501-7160d09a.pth) |
+| VGG16 | 512 | caffe | 240e | 4.3 | 0.214 | 27.5 / 35.9 | 80.0 | [model](https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/ssd512_voc_vgg16_caffe_240e_20190501-ff194be1.pth) |
\ No newline at end of file