Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning
Huanran Li, Daniel Pimentel-Alarcón
Subspace clustering aims to group data points that lie in a union of low-dimensional subspaces and finds wide application in computer vision, hyperspectral imaging, and recommendat…
cs.CV2024★ 1 cited
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
Jinhong Lin, Cheng-En Wu, Huanran Li +3
Masked Image Modeling (MIM) has emerged as a powerful self-supervised learning paradigm for visual representation learning, enabling models to acquire rich visual representations b…