3University of Pennsylvania; 1University of California, Berkeley, 2ShanghaiTech University; 1University of California, Berkeley, 6Hong Kong University; 5Johns Hopkins University; 1University of California, Berkeley; 4Hong Kong University of Science and Technology (Guangzhou)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin Haeffele, Rene Vidal, Yi Ma
image clustering;pretrained models;rate reduction;principled methods
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models