Deep Polynomial Neural Networks

Benchmark Model Rank Results
conditional-image-generation-on-cifar-10ProdPoly no activation functions#15FID: 36.77Inception score: 7.5
face-identification-on-megafaceProdpoly#4Accuracy: 98.78%
face-recognition-on-agedb-30Prodpoly#1Accuracy: 0.98467
face-recognition-on-calfwProdpoly#1Accuracy: 0.96233
face-recognition-on-lfwProdpoly#2Accuracy: 0.99833
face-verification-on-megafaceProdpoly#1Accuracy: 98.95%
image-classification-on-cifar-10Prodpoly#141Percentage correct: 94.9
image-classification-on-imagenetProdpoly#829Top 1 Accuracy: 77.17%
image-generation-on-cifar-10ProdPoly#39FID: 16.79
image-generation-on-cifar-10ProdPoly no activation functions#57FID: 40.45