2025 Poster "reconstruction-based methods" Papers

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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