Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering 事件

Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering arXiv:2605.12961v2 Announce Type: replace Abstract: Image clustering aims to partition unlabeled image datasets into distinct groups. A core aspect of this task is constructing and leveraging prior knowledge to guide the clustering process. Recent approaches introduce semantic descriptions as prior information, most of which typically relying on matching-based techniques with predefined vocabular