Neural Architecture Search On Stanford Cars
المقاييس
Accuracy (%)
FLOPS
PARAMS
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | Accuracy (%) | FLOPS | PARAMS | Paper Title | Repository |
---|---|---|---|---|---|
NAT-M3 | 92.6 | 289M | 3.5M | Neural Architecture Transfer | |
NAT-M4 | 92.9 | 369M | 3.7M | Neural Architecture Transfer | |
NAT-M1 | 90.0 | 165M | 2.4M | Neural Architecture Transfer | |
NAT-M2 | 92.2 | 222M | 2.7M | Neural Architecture Transfer |
0 of 4 row(s) selected.