EfficientNet-B4 (autoaug)
Reported on 6 benchmarks across 2 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology3 results
- Accuracy - All Images44.3best: 57.2 (VOLO-D5)
- Accuracy - Clean Images48.6best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images38.2best: 51.8 (VOLO-D5)
Computer Vision3 results
- Accuracy - All Images44.3best: 57.2 (VOLO-D5)
- Accuracy - Clean Images48.6best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images38.2best: 51.8 (VOLO-D5)