Cover Image

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sadikaj, Ylli, Zhou, Hongkuan, Halilaj, Lavdim, Schmid, Stefan, Staab, Steffen, Plant, Claudia
Format:	Preprint
Published:	2025
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

Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation
by: Nazer, Nadeem, et al.
Published: (2025)

Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shift
by: Zhou, Hongkuan, et al.
Published: (2024)

Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
by: Zhou, Hongkuan, et al.
Published: (2025)

Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2025)

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
by: Monka, Sebastian, et al.
Published: (2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
by: Chen, Zhaoliang, et al.
Published: (2024)

SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction
by: Wang, Zixu, et al.
Published: (2024)

SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
by: Sun, Zhigang, et al.
Published: (2024)

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection
by: Huang, Chaoqin, et al.
Published: (2023)

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis
by: Xuan, Phi Nguyen, et al.
Published: (2026)

Das slavische Lehngut im Albanischen
by: Ylli, Xhelal
Published: (2019)

Das slavische Lehngut im Albanischen
by: Ylli, Xhelal
Published: (2019)

Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
by: Zhu, Yuqicheng, et al.
Published: (2025)

CausalMan: A physics-based simulator for large-scale causality
by: Tagliapietra, Nicholas, et al.
Published: (2025)

On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
by: Le-Gia, Tai
Published: (2025)

What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)

GR-Agent: Adaptive Graph Reasoning Agent under Incomplete Knowledge
by: Zhou, Dongzhuoran, et al.
Published: (2025)

MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
by: Cheng, Pengzhou, et al.
Published: (2024)

nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
by: Mlodzian, Leon, et al.
Published: (2023)

Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
by: Dong, Zhijin, et al.
Published: (2024)

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
by: Qu, Zhen, et al.
Published: (2025)

Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
by: Naaman, Rani, et al.
Published: (2025)

On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
by: Le-Gia, Tai, et al.
Published: (2025)

SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
by: Peng, Yun, et al.
Published: (2024)

Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
by: Bakumenko, Alexander, et al.
Published: (2024)

MultiVer: Zero-Shot Multi-Agent Vulnerability Detection
by: Rajan, Shreshth
Published: (2026)

Zero-Shot Multi-task Hallucination Detection
by: Bhamidipati, Patanjali, et al.
Published: (2024)

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
by: Li, Gang, et al.
Published: (2025)

SynthSeg-Agents: Multi-Agent Synthetic Data Generation for Zero-Shot Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2025)

AnoRefiner: Anomaly-Aware Group-Wise Refinement for Zero-Shot Industrial Anomaly Detection
by: Huang, Dayou, et al.
Published: (2025)

Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
by: Ahn, Sunghyun, et al.
Published: (2025)

Self‐Supervised Anomaly Segmentation for Surface Defect Inspection in Display Panels
by: Jou‐Won Song, et al.
Published: (2025)

MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification
by: Qu, Xiangyan, et al.
Published: (2025)

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)

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

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
by: Fathallah, Nadeen, et al.
Published: (2025)

Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
by: Stangl, Kevin, et al.
Published: (2024)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)