GSEC uses MLLM-generated semantic descriptions and a bi-layer ensemble (BatchEnsemble inner layer plus alignment outer layer) to reduce bias and variance, outperforming 18 prior methods on six image clustering benchmarks.
Deep clustering for unsupervised learning of visual features
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