1 citations · 2 across the 5 of their papers we have counts for
5 papers
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu, Shicai Fan, Xue Zhou +4
Reconstruction-based methods have been commonly used for unsupervised anomaly detection, in which a normal image is reconstructed and compared with the given test image to detect a…
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation
Baihong Lin, Zengrong Lin, Yulan Guo +3
RGB-T semantic segmentation has been widely adopted to handle hard scenes with poor lighting conditions by fusing different modality features of RGB and thermal images. Existing me…
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,…
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation
Chun Yang, Shicai Fan
The goal of a recommendation system is to model the relevance between each user and each item through the user-item interaction history, so that maximize the positive samples score…
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…