EfficientNetV2-S

Reported on 4 benchmarks across 1 task · 1 paper

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

Computer Vision4 results

Image ClassificationonStanford Cars
Accuracy· 2021-04-01
93.8
best: 96.868 (efficient adaptive ensembling)
EfficientNetV2: Smaller Models and Faster Training arXiv:2104.00298
Image ClassificationonCIFAR-10
Percentage correct· 2021-04-01
98.7
best: 99.5 (ViT-H/14)
EfficientNetV2: Smaller Models and Faster Training arXiv:2104.00298
Image ClassificationonFlowers-102
Accuracy· uses extra data· 2021-04-01
97.9
best: 99.76 (CCT-14/7x2)
EfficientNetV2: Smaller Models and Faster Training arXiv:2104.00298
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2021-04-01
91.5
best: 96.08 (EffNet-L2 (SAM))
EfficientNetV2: Smaller Models and Faster Training arXiv:2104.00298