EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

Benchmark Model Rank Results
architecture-search-on-cifar-10-imageEEEA-Net-C (b=5)+ CO#18Params: 3.6
image-classification-on-cifar-100EEEA-Net-C (b=5)+ CO#69Percentage correct: 84.98
neural-architecture-search-on-cifar-10EEEA-Net-C (b=5)+ CO#15Top-1 Error Rate: 2.46%
neural-architecture-search-on-imagenetEEEA-Net-C2 (b=7) (our)#81Top-1 Error Rate: 23.8Accuracy: 76.2
neural-architecture-search-on-imagenetEEEA-Net-C1 (b=7) (our)#106Top-1 Error Rate: 25.7Accuracy: 74.3
object-detection-on-pascal-voc-2007EEEA-Net-C2 (YOLOv4)#5MAP: 81.8%
semantic-segmentation-on-cityscapes-valEEEA-Net-C2 (ours)#62mIoU: 76.8