1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Self-Supervised Topologically Invariant Manifold Learning for Railway Image Quality Assessment
Tingqiong Cui, Yibu Yang, Yang Li +6
Existing blind image quality assessment (BIQA) methods typically rely on synthetic distortions and subjective annotations, limiting generalization in real-world domains. To address…
cs.CV2022★ 1 cited
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang, Lei Zhang, Pichao Wang
Triplet loss, one of the deep metric learning (DML) methods, is to learn the embeddings where examples from the same class are closer than examples from different classes. Motivate…