Cover Image

Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rafiei, Mehdi, Iosifidis, Alexandros
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
by: Oleksiienko, Illia, et al.
Published: (2023)

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild
by: Chumachenko, Kateryna, et al.
Published: (2024)

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
by: Cheng, Yuqi, et al.
Published: (2025)

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
by: Tu, Yuanpeng, et al.
Published: (2024)

UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
by: Zhao, Yuan, et al.
Published: (2025)

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection
by: Xu, Yuanchan, et al.
Published: (2026)

Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
by: Guo, Jia, et al.
Published: (2024)

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
by: Fan, Lei, et al.
Published: (2024)

A Recover-then-Discriminate Framework for Robust Anomaly Detection
by: Xing, Peng, et al.
Published: (2024)

ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
by: Yao, Xincheng, et al.
Published: (2025)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
by: Guo, Jia, et al.
Published: (2024)

Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
by: Iqbal, Nasar, et al.
Published: (2025)

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images
by: Oleksiienko, Illia, et al.
Published: (2022)

Beyond Normal References: Discriminative Few-Shot Anomaly Detection
by: Wang, Huan, et al.
Published: (2026)

Dual-path Frequency Discriminators for Few-shot Anomaly Detection
by: Bai, Yuhu, et al.
Published: (2024)

Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learning
by: Liang, Hanzhe
Published: (2025)

LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction
by: Jin, Er, et al.
Published: (2025)

Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection
by: Kaneko, Yuta, et al.
Published: (2024)

Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection
by: Xiao, Haibo, et al.
Published: (2026)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection
by: Xing, Jingyu, et al.
Published: (2025)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
by: Zhan, Jiawei, et al.
Published: (2024)

Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
by: Deng, Hanqiu, et al.
Published: (2024)

VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion
by: Hicsonmez, Samet, et al.
Published: (2025)

Feature Augmentation based Test-Time Adaptation
by: Cho, Younggeol, et al.
Published: (2024)

Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection
by: Xing, Yan, et al.
Published: (2024)

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
by: Kashiani, Hossein, et al.
Published: (2024)

Generalist Multi-Class Anomaly Detection via Distillation to Two Heterogeneous Student Networks
by: Park, Hangil, et al.
Published: (2025)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
by: Hermary, Romain, et al.
Published: (2025)

AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model
by: Yan, Zhenyu, et al.
Published: (2024)

Long-Tailed Anomaly Detection with Learnable Class Names
by: Ho, Chih-Hui, et al.
Published: (2024)

PRISM: Distributed Inference for Foundation Models at Edge
by: Qazi, Muhammad Azlan, et al.
Published: (2025)

ABounD: Adversarial Boundary-Driven Few-Shot Learning for Multi-Class Anomaly Detection
by: Deng, Runzhi, et al.
Published: (2025)

AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)

Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
by: Quan, Jiajie, et al.
Published: (2025)

MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
by: Zhang, Yiling, et al.
Published: (2024)

Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
by: Beizaee, Farzad, et al.
Published: (2025)

VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
by: Zhou, Yixuan, et al.
Published: (2024)

Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
by: Singh, Inder Pal, et al.
Published: (2025)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
by: Belal, Atif, et al.
Published: (2024)

InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation
by: Jain, Sanyam, et al.
Published: (2025)