Cover Image

VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Yuxin, Cao, Yunkang, Cheng, Yuqi, Zhang, Yiheng, Shen, Weiming
Format:	Preprint
Published:	2026
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

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection
by: Zhang, Yiheng, et al.
Published: (2024)

Leveraging Learning Bias for Noisy Anomaly Detection
by: Zhang, Yuxin, et al.
Published: (2025)

Multi-View Reconstruction with Global Context for 3D Anomaly Detection
by: Sun, Yihan, et al.
Published: (2025)

RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
by: Cheng, Yuqi, et al.
Published: (2024)

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection
by: Yao, Haiming, et al.
Published: (2024)

A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Image Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
by: Zhang, Yiheng, 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)

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark
by: Cao, Yunkang, et al.
Published: (2025)

Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2023)

Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects
by: Cheng, Yuqi, et al.
Published: (2025)

Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework
by: Cheng, Yuqi, et al.
Published: (2024)

Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection
by: Sun, Yihan, et al.
Published: (2026)

A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
by: Cao, Yunkang, et al.
Published: (2024)

VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling
by: Cao, Yunkang, et al.
Published: (2024)

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
by: Luo, Wei, et al.
Published: (2025)

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
by: Cheng, Yuqi, et al.
Published: (2025)

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection
by: Luo, Wei, et al.
Published: (2026)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
by: Yao, Haiming, et al.
Published: (2024)

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
by: Jiang, Yuxin, et al.
Published: (2025)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
by: Cao, Yunkang, et al.
Published: (2023)

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

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
by: Luo, Wei, et al.
Published: (2025)

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection
by: Liu, Jiaxuan, et al.
Published: (2026)

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
by: Lin, Yuxuan, et al.
Published: (2025)

Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction
by: Liu, Zhaoge, et al.
Published: (2024)

DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution
by: Xu, Chaoran, et al.
Published: (2025)

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

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

Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
by: Huang, Chaoqin, et al.
Published: (2024)

Dual Distillation for Few-Shot Anomaly Detection
by: Dong, Le, et al.
Published: (2026)

Unseen Visual Anomaly Generation
by: Sun, Han, et al.
Published: (2024)

Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
by: Xu, Xiaohao, et al.
Published: (2024)

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
by: Zhang, Yi, et al.
Published: (2026)

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis
by: Liu, Yishen, et al.
Published: (2026)

Text-Guided Multimodal Unified Industrial Anomaly Detection
by: Li, Zewen, et al.
Published: (2026)