PSO+CNN (Cifar-10, 50/50, Original)
Reported on 1 benchmark across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology1 result
- Average Class Accuracy93.46best: 98.86 (PSO+CNN (Cifar-10, 75/25, Cranium Segmented))