NASNet-A

Reported on 2 benchmarks across 1 task

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

Computer Vision2 results

Image ClassificationonObjectNet
Top-1 Accuracy· uses extra data
35.77
best: 82.7 (CoCa)
Image ClassificationonObjectNet
Top-5 Accuracy· uses extra data
56.05
best: 82.1 (ViT-H/14)