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Models/EfficientNet-B5 (randaug)

EfficientNet-B5 (randaug)

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

Domain AdaptationonVizWiz-Classification
Accuracy - All Images· 2019-09-30
42.1
best: 57.2 (VOLO-D5)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719
Domain AdaptationonVizWiz-Classification
Accuracy - Clean Images· 2019-09-30
47.3
best: 450 (ViT-8/B-224)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719
Domain AdaptationonVizWiz-Classification
Accuracy - Corrupted Images· 2019-09-30
35.5
best: 51.8 (VOLO-D5)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719

Computer Vision3 results

Domain GeneralizationonVizWiz-Classification
Accuracy - All Images· 2019-09-30
42.1
best: 57.2 (VOLO-D5)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719
Domain GeneralizationonVizWiz-Classification
Accuracy - Clean Images· 2019-09-30
47.3
best: 450 (ViT-8/B-224)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719
Domain GeneralizationonVizWiz-Classification
Accuracy - Corrupted Images· 2019-09-30
35.5
best: 51.8 (VOLO-D5)
RandAugment: Practical automated data augmentation with a reduced search space arXiv:1909.13719