Unsupervised Learning using Pretrained CNN and Associative Memory Bank

Benchmark Model Rank Results
few-shot-image-classification-on-caltech-256-5-way-1-shotUL-Hopfield (ULH)–Accuracy: 74.7
fine-grained-image-classification-on-caltech-101UL-Hopfield (ULH)–Accuracy: 91.00
image-classification-on-cifar-10UL-Hopfield (ULH)–Percentage correct: 83.1
semi-supervised-image-classification-on-cifar-10-40-labelsUL-Hopfield (ULH)–Percentage error: 16.90