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add cvpr2019 results
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@ArcherFMY
ArcherFMY committed Aug 29, 2019
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91 changes: 86 additions & 5 deletions README.md
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Expand Up @@ -24,14 +24,26 @@ NOTE: papers please see my another [repo](https://github.com/ArcherFMY/Paper_Rea
<tr>
<th>Method Name</th>
<td align="center">AFNet</td>
<td align="center">PoolNet</td>
<td align="center">BASNet</td>
<td align="center">CPD</td>
<td align="center">MLMSNet</td>
</tr>
<tr>
<th>Platform</th>
<td align="center">Caffe</td>
<td align="center">PyTorch</td>
<td align="center">PyTorch</td>
<td align="center">PyTorch</td>
<td align="center">PyTorch</td>
</tr>
<tr>
<th>Model Size</th>
<td align="center">143.9</td>
<td align="center">143.9 MB</td>
<td align="center">278.5 MB (ResNet50)</td>
<td align="center">348.5 MB (ResNet34)</td>
<td align="center">192.0 MB (ResNet50)</td>
<td align="center">297.6 MB </td>
</tr>
</table>
</body>
Expand Down Expand Up @@ -60,11 +72,11 @@ NOTE: papers please see my another [repo](https://github.com/ArcherFMY/Paper_Rea
<tr>
<th>Model Size</th>
<td align="center">-</td>
<td align="center">648.0 MB</td>
<td align="center">648.0 MB (ResNet50)</td>
<td align="center">-</td>
<td align="center">81.0 MB</td>
<td align="center">153.3/197.2 MB (VGG/Res50) </td>
<td align="center">225.3 MB</td>
<td align="center">153.3/197.2 MB (VGG/ResNet50) </td>
<td align="center">225.3 MB (ResNeXt101)</td>
</tr>
</table>
</body>
Expand Down Expand Up @@ -94,7 +106,7 @@ NOTE: papers please see my another [repo](https://github.com/ArcherFMY/Paper_Rea
<th>Model Size</th>
<td align="center">132.6 MB</td>
<td align="center">117.9 MB</td>
<td align="center">213.1 MB</td>
<td align="center">213.1 MB (ResNet50)</td>
<td align="center">331.8 MB</td>
<td align="center">425.9 MB </td>
<td align="center">447.3 MB</td>
Expand Down Expand Up @@ -170,6 +182,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.928|.868|.045|.911|.838|.821|.854|
| CPD-R | 2019 |.939|.917|.037|.918|.849|.847|.865|
| BASNet | 2019 |.942|.879|.037|.916|.860|.855|.870|
| PoolNet | 2019 |.949|.918|.035|.926|.862|.858|.879|
| AFNet | 2019 |.935|.908|.042|.914|.839|.835|.857|
| BMPM | 2018 |.929|.869|.045|.911|.838|.821|.854|
| DGRL | 2018 |.922|.906|.041|.903|.830|.838|.846|
Expand Down Expand Up @@ -202,6 +218,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.862|.769|.074|.845|.732|.728|.753|
| CPD-R | 2019 |.869|.829|.072|.847|.726|.743|.757|
| BASNet | 2019 |.862|.779|.077|.837|.733|.740|.749|
| PoolNet | 2019 |.890|.837|.065|.866|.763|.768|.784|
| AFNet | 2019 |.868|.826|.071|.850|.736|.743|.760|
| BMPM | 2018 |.862|.769|.074|.845|.732|.728|.753|
| DGRL | 2018 |.854|.825|.072|.836|.736|.742|.747|
Expand Down Expand Up @@ -234,6 +254,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.774|.692|.064|.809|.632|.627|.654|
| CPD-R | 2019 |.796|.747|.056|.824|.656|.659|.681|
| BASNet | 2019 |.805|.755|.057|.836|.682|.699|.711|
| PoolNet | 2019 |.805|.752|.054|.831|.670|.669|.692|
| AFNet | 2019 |.797|.738|.057|.826|.653|.660|.682|
| BMPM | 2018 |.774|.692|.064|.809|.632|.627|.654|
| DGRL | 2018 |.774|.733|.062|.806|.640|.649|.657|
Expand Down Expand Up @@ -266,6 +290,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.921|.871|.039|.906|.818|.801|.838|
| CPD-R | 2019 |.927|.894|.033|.908|.819|.817|.839|
| BASNet | 2019 |.928|.896|.032|.909|.839|.832|.848|
| PoolNet | 2019 |.936|.903|.030|.919|.840|.834|.858|
| AFNet | 2019 |.923|.888|.036|.905|.814|.809|.835|
| BMPM | 2018 |.921|.871|.039|.907|.818|.801|.838|
| DGRL | 2018 |.910|.890|.036|.895|.802|.811|.820|
Expand Down Expand Up @@ -298,6 +326,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.851|.751|.049|.861|.706|.698|.736|
| CPD-R | 2019 |.866|.810|.044|.869|.724|.725|.752|
| BASNet | 2019 |.859|.796|.048|.865|.742|.741|.756|
| PoolNet | 2019 |.889|.825|.037|.886|.759|.754|.783|
| AFNet | 2019 |.862|.797|.046|.866|.721|.719|.748|
| BMPM | 2018 |.851|.751|.049|.861|.706|.698|.736|
| DGRL | 2018 |.829|.798|.050|.841|.692|.703|.713|
Expand Down Expand Up @@ -330,6 +362,10 @@ All saliency maps are provided by the authors or calculated using their released
|Methods | year | max F-measure | mean F-measure | MAE | [S-measure](https://github.com/DengPingFan/S-measure) | IoU(@ max Fm) | mean IoU | max IoU |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| MLMSNet | 2019 |.855|.763|.107|.787|.675|.633|.692|
| CPD-R | 2019 |.860|.810|.111|.768|.670|.616|.691|
| BASNet | 2019 |.851|.745|.113|.769|.662|.635|.673|
| PoolNet | 2019 |.875|.830|.104|.788|.708|.652|.725|
| AFNet | 2019 |.856|.809|.109|.777|.670|.626|.693|
| BMPM | 2018 |.855|.763|.107|.787|.675|.633|.692|
| DGRL | 2018 |.845|.799|.104|.771|.655|.642|.668|
Expand Down Expand Up @@ -465,6 +501,51 @@ All saliency maps are provided by the authors or calculated using their released
```
#### algorithms
```
%MLMSNet
@InProceedings{WuRunMin_2019_CVPR,
author = {Wu, Runmin and Feng, Mengyang and Guan, Wenlong and Wang, Dong and Lu, Huchuan and Ding, Errui},
title = {A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision},
booktitle = CVPR,
year = {2019}
}
```
```
%CPD
@InProceedings{Wu_2019_CVPR,
author = {Wu, Zhe and Su, Li and Huang, Qingming},
title = {Cascaded Partial Decoder for Fast and Accurate Salient Object Detection},
booktitle = CVPR,
year = {2019}
}
```
```
%BASNet
@InProceedings{Qin_2019_CVPR,
author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Gao, Chao and Dehghan, Masood and Jagersand, Martin},
title = {BASNet: Boundary-Aware Salient Object Detection},
booktitle = CVPR,
year = {2019}
}
```
```
%PoolNet
@inproceedings{Liu2019PoolSal,
title={A Simple Pooling-Based Design for Real-Time Salient Object Detection},
author={Liu, Jiang-Jiang and Hou, Qibin and Cheng, Ming-Ming and Feng, Jiashi and Jiang, Jianmin},
booktitle = CVPR,
year = {2019},
}
```
```
%AFNet
@InProceedings{Feng_2019_CVPR,
author = {Feng, Mengyang and Lu, Huchuan and Ding, Errui},
title = {Attentive Feedback Network for Boundary-aware Salient Object Detection},
booktitle = CVPR,
year = {2019}
}
```
```
% BMPM
@inproceedings{zhang2018bi,
title={A Bi-Directional Message Passing Model for Salient Object Detection},
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