Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning

Benchmark Model Rank Results
unsupervised-few-shot-image-classification-onPL-CFE#7Accuracy: 49.13
unsupervised-few-shot-image-classification-on-1PL-CFE#11Accuracy: 62.91
unsupervised-few-shot-image-classification-on-2PL-CFE#5Accuracy: 49.51
unsupervised-few-shot-image-classification-on-3PL-CFE#6Accuracy: 64.31