Improving Unsupervised Image Clustering with Robust Learning
CVPR(2021)
Key words
pseudolabels,gain additional robustness,calibration,model confidence,multiple datasets,overconfidence problem,retraining process,misclassified samples,noisy dataset,image clustering models,innovative model RUC,overconfident results,faulty predictions,alternative objectives,unsupervised image clustering methods,robust learning
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