Poster "reconstruction-based methods" Papers
5 papers found
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
Farzad Beizaee, Gregory A. Lodygensky, Christian Desrosiers et al.
CVPR 2025posterarXiv:2503.19357
9
citations
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
Xin Sun, Heng Zhou, Chao Li
NEURIPS 2025poster
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
Lei Fan, Junjie Huang, Donglin Di et al.
ICCV 2025posterarXiv:2412.04769
5
citations
Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
Xiaolei Wang, Tianhong Dai, Huihui Bai et al.
NEURIPS 2025poster
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Liren He, Zhengkai Jiang, Jinlong Peng et al.
ECCV 2024posterarXiv:2403.11561
28
citations