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