TResNet-L

Reported on 1 benchmark across 1 task · 2 papers · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Multi-Label ClassificationonOpenImages-v6
mAP· 2021-10-21
87.34
SOTA
Multi-label Classification with Partial Annotations using Class-aware Selective Loss arXiv:2110.10955
Multi-Label ClassificationonOpenImages-v6
mAP· 2020-09-29
86.3
best: 87.34
SOTA
Asymmetric Loss For Multi-Label Classification arXiv:2009.14119