Human Parsing on ATR (test)
98.32Overall AccuracyMulti-task Learning
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Multi-task Learning2021.01 | 98.32 | 90.16 | — | — | — | — | |
| GraphonomyTransfer Source=PASCAL2021.01 | 98.32 | 90.89 | — | — | — | — | |
| Structure-evolving LSTM2021.01 | 98.3 | 90.85 | — | — | — | — | |
| Graph LSTM2021.01 | 98.14 | 89.75 | — | — | — | — | |
| GraphonomyTransfer Source=Universal Human Parsing2021.01 | 98.03 | 89.24 | — | — | — | — | |
| LG-LSTM2021.01 | 97.66 | 86.94 | — | — | — | — | |
| CDGNet2021.11 | 97.39 | 87.16 | 90.19 | 87.46 | 86.87 | — | |
| DeepLab v3+2021.01 | 97.3 | 84.5 | — | — | — | — | |
| CorrPM2021.11 | 97.12 | 86.12 | 90.4 | 89.18 | 83.93 | — | |
| HHP2021.11 | 96.87 | 87.25 | 89.23 | 86.17 | 88.35 | — | |
| TGPNet2021.11 | 96.45 | 81.76 | 87.91 | 83.36 | 80.22 | — | |
| CoCNN2021.11 | 96.02 | 80.14 | 83.57 | 84.59 | 77.66 | — | |
| Attention2021.11 | 95.41 | 77.23 | 85.71 | 81.3 | 73.55 | — | |
| DeepLabV22021.11 | 94.42 | 73.53 | 82.93 | 69.24 | 78.48 | — | |
| SOTAAdditional Data=false2023.03 | — | — | — | — | — | 97.39 | |
| UniHCPProtocol=Fine-tuning2023.03 | — | — | — | — | — | 97.74 |