2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection
Menglong Chen, Xingtai Gui, Shicai Fan
Unsupervised out-of-distribution (OOD) Detection aims to separate the samples falling outside the distribution of training data without label information. Among numerous branches,…
cs.CV2021★ 1 cited
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
Xingtai Gui, Di Wu, Yang Chang +1
Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection. However, adapting the pretrained features would be…
cs.LG2021★ 2 cited
Deep Metric Learning Model for Imbalanced Fault Diagnosis
Xingtai Gui, Jiyang Zhang
Intelligent diagnosis method based on data-driven and deep learning is an attractive and meaningful field in recent years. However, in practical application scenarios, the imbalanc…