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SPICE: Semantic Pseudo-labeling for Image Clustering. (arXiv:2103.09382v3 [cs.CV] UPDATED)
Jan. 17, 2022, 2:10 a.m. | Chuang Niu, Hongming Shan, Ge Wang
cs.CV updates on arXiv.org arxiv.org
The similarity among samples and the discrepancy between clusters are two
crucial aspects of image clustering. However, current deep clustering methods
suffer from the inaccurate estimation of either feature similarity or semantic
discrepancy. In this paper, we present a Semantic Pseudo-labeling-based Image
ClustEring (SPICE) framework, which divides the clustering network into a
feature model for measuring the instance-level similarity and a clustering head
for identifying the cluster-level discrepancy. We design two semantics-aware
pseudo-labeling algorithms, prototype pseudo-labeling, and reliable
pseudo-labeling, which …
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