Add some publish information of implemented models (open-mmlab#508)

* Add some publish information * Fix some readme omission.
bowenroom · Apr 24, 2021 · 38f188d · 38f188d
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diff --git a/README.md b/README.md
@@ -57,37 +57,38 @@ Results and models are available in the [model zoo](docs/model_zoo.md).
 
 Supported backbones:
 
-- [x] ResNet
-- [x] ResNeXt
-- [x] [HRNet](configs/hrnet/README.md)
-- [x] [ResNeSt](configs/resnest/README.md)
-- [x] [MobileNetV2](configs/mobilenet_v2/README.md)
-- [x] [MobileNetV3](configs/mobilenet_v3/README.md)
+- [x] ResNet (CVPR'2016)
+- [x] ResNeXt (CVPR'2017)
+- [x] [HRNet (CVPR'2019)](configs/hrnet/README.md)
+- [x] [ResNeSt (ArXiv'2020)](configs/resnest/README.md)
+- [x] [MobileNetV2 (CVPR'2018)](configs/mobilenet_v2/README.md)
+- [x] [MobileNetV3 (ICCV'2019)](configs/mobilenet_v3/README.md)
 
 Supported methods:
 
-- [x] [FCN](configs/fcn)
-- [x] [PSPNet](configs/pspnet)
-- [x] [DeepLabV3](configs/deeplabv3)
-- [x] [PSANet](configs/psanet)
-- [x] [DeepLabV3+](configs/deeplabv3plus)
-- [x] [UPerNet](configs/upernet)
-- [x] [NonLocal Net](configs/nonlocal_net)
-- [x] [EncNet](configs/encnet)
-- [x] [CCNet](configs/ccnet)
-- [x] [DANet](configs/danet)
-- [x] [APCNet](configs/apcnet)
-- [x] [GCNet](configs/gcnet)
-- [x] [DMNet](configs/dmnet)
-- [x] [ANN](configs/ann)
-- [x] [OCRNet](configs/ocrnet)
-- [x] [Fast-SCNN](configs/fastscnn)
-- [x] [Semantic FPN](configs/sem_fpn)
-- [x] [PointRend](configs/point_rend)
-- [x] [EMANet](configs/emanet)
-- [x] [DNLNet](configs/dnlnet)
-- [x] [CGNet](configs/cgnet)
-- [x] [Mixed Precision (FP16) Training](configs/fp16/README.md)
+- [x] [FCN (CVPR'2015/TPAMI'2017)](configs/fcn)
+- [x] [UNet (MICCAI'2016/Nat. Methods'2019)](configs/unet)
+- [x] [PSPNet (CVPR'2017)](configs/pspnet)
+- [x] [DeepLabV3 (CVPR'2017)](configs/deeplabv3)
+- [x] [Mixed Precision (FP16) Training (ArXiv'2017)](configs/fp16/README.md)
+- [x] [PSANet (ECCV'2018)](configs/psanet)
+- [x] [DeepLabV3+ (CVPR'2018)](configs/deeplabv3plus)
+- [x] [UPerNet (ECCV'2018)](configs/upernet)
+- [x] [NonLocal Net (CVPR'2018)](configs/nonlocal_net)
+- [x] [EncNet (CVPR'2018)](configs/encnet)
+- [x] [Semantic FPN (CVPR'2019)](configs/sem_fpn)
+- [x] [DANet (CVPR'2019)](configs/danet)
+- [x] [APCNet (CVPR'2019)](configs/apcnet)
+- [x] [EMANet (ICCV'2019)](configs/emanet)
+- [x] [CCNet (ICCV'2019)](configs/ccnet)
+- [x] [DMNet (ICCV'2019)](configs/dmnet)
+- [x] [ANN (ICCV'2019)](configs/ann)
+- [x] [GCNet (ICCVW'2019/TPAMI'2020)](configs/gcnet)
+- [x] [Fast-SCNN (ArXiv'2019)](configs/fastscnn)
+- [x] [OCRNet (ECCV'2020)](configs/ocrnet)
+- [x] [DNLNet (ECCV'2020)](configs/dnlnet)
+- [x] [PointRend (CVPR'2020)](configs/point_rend)
+- [x] [CGNet (TIP'2020)](configs/cgnet)
 
 ## Installation
 

diff --git a/README_zh-CN.md b/README_zh-CN.md
@@ -56,37 +56,37 @@ MMSegmentation 是一个基于 PyTorch 的语义分割开源工具箱。它是 O
 
 已支持的骨干网络：
 
-- [x] ResNet
-- [x] ResNeXt
-- [x] [HRNet](configs/hrnet/README.md)
-- [x] [ResNeSt](configs/resnest/README.md)
-- [x] [MobileNetV2](configs/mobilenet_v2/README.md)
-- [x] [MobileNetV3](configs/mobilenet_v3/README.md)
+- [x] ResNet (CVPR'2016)
+- [x] ResNeXt (CVPR'2017)
+- [x] [HRNet (CVPR'2019)](configs/hrnet/README.md)
+- [x] [ResNeSt (ArXiv'2020)](configs/resnest/README.md)
+- [x] [MobileNetV2 (CVPR'2018)](configs/mobilenet_v2/README.md)
+- [x] [MobileNetV3 (ICCV'2019)](configs/mobilenet_v3/README.md)
 
 已支持的算法：
 
-- [x] [FCN](configs/fcn)
-- [x] [PSPNet](configs/pspnet)
-- [x] [DeepLabV3](configs/deeplabv3)
-- [x] [PSANet](configs/psanet)
-- [x] [DeepLabV3+](configs/deeplabv3plus)
-- [x] [UPerNet](configs/upernet)
-- [x] [NonLocal Net](configs/nonlocal_net)
-- [x] [EncNet](configs/encnet)
-- [x] [CCNet](configs/ccnet)
-- [x] [DANet](configs/danet)
-- [x] [APCNet](configs/apcnet)
-- [x] [GCNet](configs/gcnet)
-- [x] [DMNet](configs/dmnet)
-- [x] [ANN](configs/ann)
-- [x] [OCRNet](configs/ocrnet)
-- [x] [Fast-SCNN](configs/fastscnn)
-- [x] [Semantic FPN](configs/sem_fpn)
-- [x] [PointRend](configs/point_rend)
-- [x] [EMANet](configs/emanet)
-- [x] [DNLNet](configs/dnlnet)
-- [x] [CGNet](configs/cgnet)
-- [x] [Mixed Precision (FP16) Training](configs/fp16/README.md)
+- [x] [FCN (CVPR'2015/TPAMI'2017)](configs/fcn)
+- [x] [PSPNet (CVPR'2017)](configs/pspnet)
+- [x] [DeepLabV3 (CVPR'2017)](configs/deeplabv3)
+- [x] [Mixed Precision (FP16) Training (ArXiv'2017)](configs/fp16/README.md)
+- [x] [PSANet (ECCV'2018)](configs/psanet)
+- [x] [DeepLabV3+ (CVPR'2018)](configs/deeplabv3plus)
+- [x] [UPerNet (ECCV'2018)](configs/upernet)
+- [x] [NonLocal Net (CVPR'2018)](configs/nonlocal_net)
+- [x] [EncNet (CVPR'2018)](configs/encnet)
+- [x] [Semantic FPN (CVPR'2019)](configs/sem_fpn)
+- [x] [DANet (CVPR'2019)](configs/danet)
+- [x] [APCNet (CVPR'2019)](configs/apcnet)
+- [x] [EMANet (ICCV'2019)](configs/emanet)
+- [x] [CCNet (ICCV'2019)](configs/ccnet)
+- [x] [DMNet (ICCV'2019)](configs/dmnet)
+- [x] [ANN (ICCV'2019)](configs/ann)
+- [x] [GCNet (ICCVW'2019/TPAMI'2020)](configs/gcnet)
+- [x] [Fast-SCNN (ArXiv'2019)](configs/fastscnn)
+- [x] [OCRNet (ECCV'2020)](configs/ocrnet)
+- [x] [DNLNet (ECCV'2020)](configs/dnlnet)
+- [x] [PointRend (CVPR'2020)](configs/point_rend)
+- [x] [CGNet (TIP'2020)](configs/cgnet)
 
 ## 安装
 

diff --git a/configs/cgnet/README.md b/configs/cgnet/README.md
@@ -5,11 +5,14 @@
 [ALGORITHM]
 
 ```latext
-@article{wu2018cgnet,
-  title={CGNet: A Light-weight Context Guided Network for Semantic Segmentation},
-  author={Wu, Tianyi and Tang, Sheng and Zhang, Rui and Zhang, Yongdong},
-  journal={arXiv preprint arXiv:1811.08201},
-  year={2018}
+@article{wu2020cgnet,
+  title={Cgnet: A light-weight context guided network for semantic segmentation},
+  author={Wu, Tianyi and Tang, Sheng and Zhang, Rui and Cao, Juan and Zhang, Yongdong},
+  journal={IEEE Transactions on Image Processing},
+  volume={30},
+  pages={1169--1179},
+  year={2020},
+  publisher={IEEE}
 }
 ```
 

diff --git a/configs/point_rend/README.md b/configs/point_rend/README.md
@@ -5,13 +5,12 @@
 [ALGORITHM]
 
 ```
-@misc{alex2019pointrend,
-    title={PointRend: Image Segmentation as Rendering},
-    author={Alexander Kirillov and Yuxin Wu and Kaiming He and Ross Girshick},
-    year={2019},
-    eprint={1912.08193},
-    archivePrefix={arXiv},
-    primaryClass={cs.CV}
+@inproceedings{kirillov2020pointrend,
+  title={Pointrend: Image segmentation as rendering},
+  author={Kirillov, Alexander and Wu, Yuxin and He, Kaiming and Girshick, Ross},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={9799--9808},
+  year={2020}
 }
 ```
 

diff --git a/configs/unet/README.md b/configs/unet/README.md
@@ -35,16 +35,16 @@
 
 ### CHASE_DB1
 
-| Backbone    | Head      | Image Size | Crop Size | Stride | Lr schd | Mem (GB) | Inf time (fps) |  Dice | download                                                                                                                       |
-| ----------- | --------- | ---------- | --------- | -----: | ------- | -------- | -------------: | ----: | ------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Backbone    | Head      | Image Size | Crop Size | Stride | Lr schd | Mem (GB) | Inf time (fps) |  Dice | config                                                                                                                     | download                                                                                                                                                                                                                                                                                                                                                     |
+| ----------- | --------- | ---------- | --------- | -----: | ------- | -------- | -------------: | ----: | -------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | UNet-S5-D16 | FCN       | 960x999    | 128x128   |  85x85 | 40000   | 0.968    |              - | 80.24 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/fcn_unet_s5-d16_128x128_40k_chase_db1.py)       | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_128x128_40k_chase_db1/fcn_unet_s5-d16_128x128_40k_chase_db1_20201223_191051-95852f45.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_128x128_40k_chase_db1/fcn_unet_s5-d16_128x128_40k_chase_db1-20201223_191051.log.json)                         |
 | UNet-S5-D16 | PSPNet    | 960x999    | 128x128   |  85x85 | 40000   | 0.982    |              - | 80.36 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/pspnet_unet_s5-d16_128x128_40k_chase_db1.py)    | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_128x128_40k_chase_db1/pspnet_unet_s5-d16_128x128_40k_chase_db1_20201227_181818-68d4e609.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_128x128_40k_chase_db1/pspnet_unet_s5-d16_128x128_40k_chase_db1-20201227_181818.log.json)             |
 | UNet-S5-D16 | DeepLabV3 | 960x999    | 128x128   |  85x85 | 40000   | 0.999    |              - | 80.47 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_128x128_40k_chase_db1/deeplabv3_unet_s5-d16_128x128_40k_chase_db1_20201226_094047-4c5aefa3.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_128x128_40k_chase_db1/deeplabv3_unet_s5-d16_128x128_40k_chase_db1-20201226_094047.log.json) |
 
 ### HRF
 
-| Backbone    | Head      | Image Size | Crop Size |  Stride | Lr schd | Mem (GB) | Inf time (fps) |  Dice | download                                                                                                                 |
-| ----------- | --------- | ---------- | --------- | ------: | ------- | -------- | -------------: | ----: | ------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Backbone    | Head      | Image Size | Crop Size | Stride | Lr schd | Mem (GB) | Inf time (fps) |  Dice | config                                                                                                                     | download                                                                                                                                                                                                                                                                                                                                                     |
+| ----------- | --------- | ---------- | --------- | -----: | ------- | -------- | -------------: | ----: | -------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 | UNet-S5-D16 | FCN       | 2336x3504  | 256x256   | 170x170 | 40000   | 2.525    |              - | 79.45 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/fcn_unet_s5-d16_256x256_40k_hrf.py)       | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_256x256_40k_hrf/fcn_unet_s5-d16_256x256_40k_hrf_20201223_173724-df3ec8c4.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/fcn_unet_s5-d16_256x256_40k_hrf/fcn_unet_s5-d16_256x256_40k_hrf-20201223_173724.log.json)                         |
 | UNet-S5-D16 | PSPNet    | 2336x3504  | 256x256   | 170x170 | 40000   | 2.588    |              - | 80.07 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/pspnet_unet_s5-d16_256x256_40k_hrf.py)    | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_256x256_40k_hrf/pspnet_unet_s5-d16_256x256_40k_hrf_20201227_181818-fdb7e29b.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/pspnet_unet_s5-d16_256x256_40k_hrf/pspnet_unet_s5-d16_256x256_40k_hrf-20201227_181818.log.json)             |
 | UNet-S5-D16 | DeepLabV3 | 2336x3504  | 256x256   | 170x170 | 40000   | 2.604    |              - | 80.21 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf/deeplabv3_unet_s5-d16_256x256_40k_hrf_20201226_094047-3a1fdf85.pth) &#124; [log](https://download.openmmlab.com/mmsegmentation/v0.5/unet/deeplabv3_unet_s5-d16_256x256_40k_hrf/deeplabv3_unet_s5-d16_256x256_40k_hrf-20201226_094047.log.json) |