Partial Multi-Label Learning on Mirflickr
0.108Ranking LossPML-MA
Evaluation Results
| Method | Links | |
|---|---|---|
| PML-MAAverage Candidate Labels=3.352026.04 | 0.108 | |
| PML-PLRAverage Candidate Labels=3.352026.04 | 0.109 | |
| WSC-PMLAvg#CLS=3.352026.04 | 0.11 | |
| PAMBAverage Candidate Labels=3.352026.04 | 0.112 | |
| PAMBAvg#CLS=3.352026.04 | 0.112 | |
| PML-NDAverage Candidate Labels=3.352026.04 | 0.113 | |
| FBD-PMLAverage Candidate Labels=3.352026.04 | 0.116 | |
| P-LENFNAverage Candidate Labels=3.352026.04 | 0.118 | |
| PML-LENFNAvg#CLS=3.352026.04 | 0.118 | |
| PML-fpAverage Candidate Labels=3.352026.04 | 0.124 | |
| FBD-PMLAvg#CLS=3.352026.04 | 0.124 | |
| PML-fpAvg#CLS=3.352026.04 | 0.124 | |
| PML-NIAverage Candidate Labels=3.352026.04 | 0.126 | |
| PML-NIAvg#CLS=3.352026.04 | 0.126 | |
| PARTICLEAverage Candidate Labels=3.352026.04 | 0.127 | |
| NLRAvg#CLS=3.352026.04 | 0.127 |