From: Application of evolutionary and swarm optimization in computer vision: a literature survey
Dataset | Approach | Accuracy | OPT. time | #GPUs |
---|---|---|---|---|
CIFAR-10 | LEIC [1] | 94.60 | 10 days | 250 |
 | CoDeepNEAT [3] | 92.70 | – | – |
 | CGP-CNN [4] | 94.34 | 10.4 days | 2 |
 | Genetic CNN [5] | 92.90 | 2 days | 10 |
 | HREAS [6] | 96.40 | 1.5 days | 200 |
 | 93.29 | – | – | |
 | PSOAO [10] | 83.5 | 3.4 days | 1 |
CIFAR-100 | LEIC [1] | 77.00 | – | – |
 | Genetic CNN [5] | 70.97 | – | – |
 | 77.51 | – | – | |
MNIST | EvoCNN [2] | 98.82 | 2-3 days | 2 |
 | 99.70 | – | – | |
 | PSOAO [10] | 99.51 | 5 days | 1 |
 | IPPSO [11] | 98.87 | – | – |
BZI000065_conv-xml0x.pngFashion MNIST\c:IMG | EvoCNN [2] | 94.53 | 4 days | 2 |
 | 95.11 | – | – | |
ImageNet | Genetic CNN [5] | 72.13 | – | – |
 | HREAS [6] | 79.70 | – | – |