HyperAI超神经

Multi Label Classification On Openimages V6

评估指标

mAP

评测结果

各个模型在此基准测试上的表现结果

		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

0 of 4 row(s) selected.

HyperAI超神经

Multi Label Classification On Openimages V6

评估指标

mAP

评测结果

各个模型在此基准测试上的表现结果

		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

0 of 4 row(s) selected.

Multi Label Classification On Openimages V6 | SOTA | HyperAI超神经