13 citations · 15 across the 6 of their papers we have counts for
6 papers
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
Alireza Salehi, Mohammadreza Salehi, Reshad Hosseini +3
Zero-shot anomaly detection and localization aims to learn from source-domain data and generalize to unseen target domains without target-domain samples. Recent CLIP-based methods…
Hierarchical Mutual Information Analysis: Towards Multi-view Clustering in The Wild
Jiatai Wang, Zhiwei Xu, Xuewen Yang +1
Multi-view clustering (MVC) can explore common semantics from unsupervised views generated by different sources, and thus has been extensively used in applications of practical com…
Towards Generalized Multi-stage Clustering: Multi-view Self-distillation
Jiatai Wang, Zhiwei Xu, Xin Wang +1
Existing multi-stage clustering methods independently learn the salient features from multiple views and then perform the clustering task. Particularly, multi-view clustering (MVC)…
Self-supervised Multi-view Clustering in Computer Vision: A Survey
Jiatai Wang, Zhiwei Xu, Xuewen Yang +3
Multi-view clustering (MVC) has had significant implications in cross-modal representation learning and data-driven decision-making in recent years. It accomplishes this by leverag…
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation
Jiatai Wang, Zhiwei Xu, Xuewen Yang +2
Incomplete Multi-View Clustering aims to enhance clustering performance by using data from multiple modalities. Despite the fact that several approaches for studying this issue hav…
Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)
Dongjin Guo, Xiaoming Su, Jiatai Wang +3
The target of image-text clustering (ITC) is to find correct clusters by integrating complementary and consistent information of multi-modalities for these heterogeneous samples. H…