Revisiting a kNN-based Image Classification System with High-capacity Storage

Benchmark Model Rank Results
continual-learning-on-cifar100-20-taskskNN-CLIPAverage Accuracy: 90.8
image-classification-on-cifar-10kNN-CLIPPercentage correct: 97.3
image-classification-on-cifar-100kNN-CLIPPercentage correct: 81.7
image-classification-on-imagenetkNN-CLIPTop 1 Accuracy: 79.8%
image-classification-on-imagenet-realkNN-CLIPAccuracy: 84%
image-classification-on-stl-10kNN-CLIPPercentage correct: 99.6
incremental-learning-on-imagenet-10-stepskNN-CLIPAverage Incremental Accuracy: 85.5
incremental-learning-on-imagenet100-10-stepskNN-CLIPAverage Incremental Accuracy: 85.1