Multi-Label Classification
multilabel graph classification with highest result
Papers
No papers found.
All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CFT (ensemble) Macao Polytechnic University | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 2 | Hierarchical-Learning-V1 (ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 3 | DeepAUC-v1 | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 4 | Conditional-Training-LSR | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 5 | Hierarchical-Learning-V0 (ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 6 | Conditional-Training-LSR-V1 | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 7 | Hierarchical-Learning-V4 (ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 8 | YWW(ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 9 | Multi-Stage-Learning-CNN-V3 (ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |
| 10 | DeepCNNsGM(ensemble) | AVERAGE AUC ON 14 LABEL | 0.93 | — | Unverified |