Human Parsing on LIP (test)
63.52mIoUPLIP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PLIPBackbone=Swin-B2023.05 | 63.52 | — | — | |
| PLIPBackbone=RN1522023.05 | 62.44 | — | — | |
| PLIPBackbone=RN1012023.05 | 61.32 | — | — | |
| SOLIDERBackbone=Swin-B2023.05 | 60.5 | — | — | |
| PLIPBackbone=RN502023.05 | 60.41 | — | — | |
| CDGNetBackbone=RN1012023.05 | 60.3 | — | — | |
| SCHPBackbone=RN1012023.05 | 59.36 | — | — | |
| CNIFBackbone=RN1012023.05 | 57.74 | — | — | |
| CE2PBackbone=RN1012023.05 | 53.1 | — | — | |
| JPPNetBackbone=RN1012023.05 | 51.37 | — | — | |
| JPPNetAuxiliary information=pose info2018.04 | 51.36 | 86.48 | 62.25 | |
| MMANBackbone=RN1012023.05 | 46.81 | — | — | |
| DeepLabBackbone=ResNet-1012018.04 | 44.96 | 84.25 | 55.64 | |
| Attention + SSLSSL=true2017.03 | 44.59 | 84.53 | 54.81 | |
| SS-JPPNet2018.04 | 44.59 | 84.53 | 54.81 | |
| Attention2017.03 | 42.97 | 83.56 | 54.28 | |
| Attention2018.04 | 42.97 | 83.56 | 54.28 | |
| AttentionBackbone=VGG162023.05 | 42.92 | — | — | |
| DeepLabV2 + SSLBackbone=VGG-16, Dense CRF=false, SSL=true2017.03 | 42.46 | 83.37 | 52.53 | |
| DeepLabV2Backbone=VGG-16, Dense CRF=false2017.03 | 41.56 | 82.89 | 51.53 | |
| DeepLabBackbone=VGG-162018.04 | 41.56 | 82.89 | 51.53 | |
| FCN-8s2017.03 | 28.69 | 76.28 | 37.18 | |
| FCN-8s2018.04 | 28.69 | 76.28 | 37.18 | |
| SegNet2017.03 | 18.37 | 69.1 | 24.26 | |
| SegNet2018.04 | 18.37 | 69.1 | 24.26 |