EfficientNet-B2 (advprop+autoaug)
Reported on 6 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology3 results
- Accuracy - All Images· 2019-11-2144.3best: 57.2 (VOLO-D5)
- Accuracy - Clean Images· 2019-11-2148best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images· 2019-11-2138.2best: 51.8 (VOLO-D5)
Computer Vision3 results
- Accuracy - All Images· 2019-11-2144.3best: 57.2 (VOLO-D5)
- Accuracy - Clean Images· 2019-11-2148best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images· 2019-11-2138.2best: 51.8 (VOLO-D5)