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Models/EfficientNet-B7

EfficientNet-B7

Reported on 7 benchmarks across 2 tasks · 1 paper · 5 SOTA

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

Computer Vision7 results

Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2019-05-28
91.7
best: 96.08 (EffNet-L2 (SAM))
SOTA
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Image ClassificationonFGVC Aircraft
Accuracy· 2019-05-28
92.9
best: 95.4 (SR-GNN)
SOTA
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Image ClassificationonFood-101
Accuracy· 2019-05-28
93
best: 98.6 (CAP)
SOTA
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Fine-Grained Image ClassificationonFGVC Aircraft
Accuracy· 2019-05-28
92.9
best: 95.4 (SR-GNN)
SOTA
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Fine-Grained Image ClassificationonFood-101
Accuracy· 2019-05-28
93
best: 98.6 (CAP)
SOTA
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Image ClassificationonCIFAR-10
Percentage correct· 2019-05-28
98.9
best: 99.5 (ViT-H/14)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946
Image ClassificationonImageNet
GFLOPs· 2019-05-28
37
best: 1478 (InternImage-H)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arXiv:1905.11946