Imagen de Portada

Text-Guided Multimodal Unified Industrial Anomaly Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zewen, Ye, Shuo, Yu, Zitong, Xie, Weicheng, Shen, Linlin
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection
por: Li, Zewen, et al.
Publicado: (2025)

BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
por: Ma, Yingjie, et al.
Publicado: (2024)

SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency
por: Xie, Yiping, et al.
Publicado: (2024)

Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing
por: Ma, Yingjie, et al.
Publicado: (2025)

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling
por: Niu, Zenghao, et al.
Publicado: (2025)

Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection
por: Zhang, Yaning, et al.
Publicado: (2024)

GazeCLIP: Gaze-Guided CLIP with Adaptive-Enhanced Fine-Grained Language Prompt for Deepfake Attribution and Detection
por: Zhang, Yaning, et al.
Publicado: (2026)

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners
por: Liu, Xinyue, et al.
Publicado: (2024)

BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection
por: Xiang, An, et al.
Publicado: (2025)

Multimodal Industrial Anomaly Detection via Geometric Prior
por: Li, Min, et al.
Publicado: (2026)

Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
por: Chen, Zhiling, et al.
Publicado: (2025)

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
por: Zhu, Ye, et al.
Publicado: (2025)

PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing
por: Xie, Yiping, et al.
Publicado: (2025)

GM-DF: Generalized Multi-Scenario Deepfake Detection
por: Lai, Yingxin, et al.
Publicado: (2024)

PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning
por: Ma, Yingjie, et al.
Publicado: (2025)

Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
por: Lee, Mingyu, et al.
Publicado: (2024)

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
por: Chen, Peng, et al.
Publicado: (2026)

Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
por: Costanzino, Alex, et al.
Publicado: (2023)

A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
por: Chen, Qiyu, et al.
Publicado: (2024)

CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
por: Xian, Xiaole, et al.
Publicado: (2024)

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
por: Li, Hanxi, et al.
Publicado: (2025)

UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning
por: Li, Hongrui, et al.
Publicado: (2026)

YUV20K: A Complexity-Driven Benchmark and Trajectory-Aware Alignment Model for Video Camouflaged Object Detection
por: Liu, Yiyu, et al.
Publicado: (2026)

Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective
por: Long, Kaifang, et al.
Publicado: (2026)

IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning
por: Zhao, Mengyang, et al.
Publicado: (2025)

Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
por: Huang, Tingfeng, et al.
Publicado: (2024)

MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
por: Zhang, Yaning, et al.
Publicado: (2024)

Agent4FaceForgery: Multi-Agent LLM Framework for Realistic Face Forgery Detection
por: Lai, Yingxin, et al.
Publicado: (2025)

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
por: Chen, Qiyu, et al.
Publicado: (2024)

Answering Diverse Questions via Text Attached with Key Audio-Visual Clues
por: Ye, Qilang, et al.
Publicado: (2024)

Deep Industrial Image Anomaly Detection: A Survey
por: Liu, Jiaqi, et al.
Publicado: (2023)

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
por: Huang, Po-Han, et al.
Publicado: (2025)

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
por: Li, Yuanze, et al.
Publicado: (2023)

OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning
por: Zhao, Shifang, et al.
Publicado: (2025)

Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation
por: Sui, Wenbo, et al.
Publicado: (2024)

VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection
por: Jiang, Yuxin, et al.
Publicado: (2026)

SPF-Portrait: Towards Pure Text-to-Portrait Customization with Semantic Pollution-Free Fine-Tuning
por: Xian, Xiaole, et al.
Publicado: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
por: Li, Hanxi, et al.
Publicado: (2024)

Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection
por: Hao, Chao, et al.
Publicado: (2025)

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