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Models/BiT-L (ResNet)

BiT-L (ResNet)

Reported on 9 benchmarks across 2 tasks · 1 paper · 9 SOTA

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

Computer Vision9 results

Image ClassificationonCIFAR-10
Percentage correct· uses extra data· 2019-12-24
99.37
best: 99.5 (ViT-H/14)
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonFlowers-102
Accuracy· uses extra data· 2019-12-24
99.63
best: 99.76 (CCT-14/7x2)
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonObjectNet (Bounding Box)
Top 5 Accuracy· uses extra data· 2019-12-24
85.1
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2019-12-24
93.51
best: 96.08 (EffNet-L2 (SAM))
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonImageNet
Top 5 Accuracy· 2019-12-24
98.46
best: 99.02 (Florence-CoSwin-H)
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonOxford-IIIT Pets
Accuracy· 2019-12-24
96.62
best: 97.1 (EffNet-L2 (SAM))
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Image ClassificationonOxford 102 Flowers
Top-1 Error Rate· uses extra data· 2019-12-24
0.37
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Fine-Grained Image ClassificationonOxford-IIIT Pets
Accuracy· 2019-12-24
96.62
best: 97.1 (EffNet-L2 (SAM))
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370
Fine-Grained Image ClassificationonOxford 102 Flowers
Top-1 Error Rate· uses extra data· 2019-12-24
0.37
SOTA
Big Transfer (BiT): General Visual Representation Learning arXiv:1912.11370