TResNet-M

Reported on 1 benchmark across 1 task · 2 papers

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· 2021-11-25
86.8
best: 87.34 (TResNet-L)
ML-Decoder: Scalable and Versatile Classification Head arXiv:2111.12933
Multi-Label ClassificationonOpenImages-v6
mAP· 2021-10-21
86.72
best: 87.34 (TResNet-L)
Multi-label Classification with Partial Annotations using Class-aware Selective Loss arXiv:2110.10955