Semantic Segmentation on PASCAL Person-Part (test)
73.9mIoUSVCNet
Evaluation Results
| Method | Links | |
|---|---|---|
| SVCNet2019.09 | 73.9 | |
| RefineNet-152Number of Parameters=134M, Runtime (ms)=69.37 ± 0.78, Input Resolution=625 x 468, Multi-scale evaluation=true2018.10 | 68.8 | |
| RefineNet2019.09 | 68.6 | |
| DenseDecoder2019.09 | 68.6 | |
| RefineNet-101Number of Parameters=118M, Runtime (ms)=60.25 ± 0.53, Input Resolution=625 x 4682018.10 | 67.6 | |
| RefineNet-LW-152Number of Parameters=62M, Runtime (ms)=35.82 ± 0.23, Input Resolution=625 x 4682018.10 | 67.6 | |
| RefineNet-LW-101Number of Parameters=46M, Runtime (ms)=27.16 ± 0.19, Input Resolution=625 x 4682018.10 | 66.7 | |
| RefineNet-50Number of Parameters=99M, Runtime (ms)=54.18 ± 0.46, Input Resolution=625 x 4682018.10 | 65.7 | |
| DeepLab-v2-CRFNumber of Parameters=44M, Multi-scale evaluation=true2018.10 | 64.9 | |
| RefineNet-LW-50Number of Parameters=27M, Runtime (ms)=19.56 ± 0.29, Input Resolution=625 x 4682018.10 | 64.9 | |
| DeepLab-V22019.09 | 64.9 | |
| DeepLab2019.09 | 62.8 | |
| Graph LSTM2019.09 | 60.2 | |
| LG-LSTM2019.09 | 58 | |
| HAZN2019.09 | 57.5 | |
| Attention2019.09 | 56.4 |