Multi Label Classification On Openimages V6
Metrics
mAP
Results
Performance results of various models on this benchmark
Model Name | mAP | Paper Title | Repository |
|---|---|---|---|
| TResNet-L | 87.34 | Multi-label Classification with Partial Annotations using Class-aware Selective Loss | - |
| TResNet-L | 86.3 | Asymmetric Loss For Multi-Label Classification | - |
| TResNet-M | 86.72 | Multi-label Classification with Partial Annotations using Class-aware Selective Loss | - |
| TResNet-M | 86.8 | ML-Decoder: Scalable and Versatile Classification Head | - |
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