Partial Multi-Label Learning on Image (Ranking Loss)
0.148Ranking LossPML-MA
Evaluation Results
| Method | Links | |
|---|---|---|
| PML-MAAverage Candidate Labels=22026.04 | 0.148 | |
| WSC-PMLAvg#CLS=22026.04 | 0.152 | |
| WSC-PMLAvg#CLS=32026.04 | 0.173 | |
| PML-MAAverage Candidate Labels=32026.04 | 0.175 | |
| PAMBAvg#CLS=22026.04 | 0.177 | |
| FBD-PMLAvg#CLS=22026.04 | 0.187 | |
| PML-LENFNAvg#CLS=22026.04 | 0.188 | |
| NLRAvg#CLS=22026.04 | 0.191 | |
| PML-NIAvg#CLS=22026.04 | 0.194 | |
| WSC-PMLAvg#CLS=42026.04 | 0.205 | |
| PML-LENFNAvg#CLS=32026.04 | 0.212 | |
| PAMBAvg#CLS=32026.04 | 0.217 | |
| FBD-PMLAvg#CLS=32026.04 | 0.219 | |
| PML-NIAvg#CLS=32026.04 | 0.23 | |
| PML-MAAverage Candidate Labels=42026.04 | 0.232 | |
| NLRAvg#CLS=32026.04 | 0.235 | |
| PAMBAvg#CLS=42026.04 | 0.255 | |
| PML-fpAvg#CLS=32026.04 | 0.265 | |
| PML-fpAvg#CLS=22026.04 | 0.282 | |
| PML-LENFNAvg#CLS=42026.04 | 0.285 | |
| FBD-PMLAvg#CLS=42026.04 | 0.287 | |
| PML-NIAvg#CLS=42026.04 | 0.303 | |
| NLRAvg#CLS=42026.04 | 0.309 | |
| PML-fpAvg#CLS=42026.04 | 0.38 |