EfficientNet-B5 (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 Images45.7best: 57.2 (VOLO-D5)
- Accuracy - Clean Images50.2best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images39.8best: 51.8 (VOLO-D5)
Computer Vision3 results
- Accuracy - All Images45.7best: 57.2 (VOLO-D5)
- Accuracy - Clean Images50.2best: 450 (ViT-8/B-224)
- Accuracy - Corrupted Images39.8best: 51.8 (VOLO-D5)