Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework
Fuente:
arXiv
Guardado en:
| Autores principales: | Cheng, Yuqi, Cao, Yunkang, Xie, Guoyang, Lu, Zhichao, Shen, Weiming |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2025)
por: Cheng, Yuqi, et al.
Publicado: (2025)
Multi-View Reconstruction with Global Context for 3D Anomaly Detection
por: Sun, Yihan, et al.
Publicado: (2025)
por: Sun, Yihan, et al.
Publicado: (2025)
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
por: Cao, Yunkang, et al.
Publicado: (2023)
por: Cao, Yunkang, et al.
Publicado: (2023)
Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection
por: Sun, Yihan, et al.
Publicado: (2026)
por: Sun, Yihan, et al.
Publicado: (2026)
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2024)
por: Cheng, Yuqi, et al.
Publicado: (2024)
Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects
por: Cheng, Yuqi, et al.
Publicado: (2025)
por: Cheng, Yuqi, et al.
Publicado: (2025)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
por: Cao, Yunkang, et al.
Publicado: (2024)
por: Cao, Yunkang, et al.
Publicado: (2024)
Leveraging Learning Bias for Noisy Anomaly Detection
por: Zhang, Yuxin, et al.
Publicado: (2025)
por: Zhang, Yuxin, et al.
Publicado: (2025)
VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection
por: Jiang, Yuxin, et al.
Publicado: (2026)
por: Jiang, Yuxin, et al.
Publicado: (2026)
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection
por: Zhang, Yiheng, et al.
Publicado: (2024)
por: Zhang, Yiheng, et al.
Publicado: (2024)
Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
por: Jiang, Yuxin, et al.
Publicado: (2025)
por: Jiang, Yuxin, et al.
Publicado: (2025)
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
por: Zhang, Yiheng, et al.
Publicado: (2024)
por: Zhang, Yiheng, et al.
Publicado: (2024)
Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
por: Jiang, Yuxin, et al.
Publicado: (2025)
por: Jiang, Yuxin, et al.
Publicado: (2025)
Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark
por: Cao, Yunkang, et al.
Publicado: (2025)
por: Cao, Yunkang, et al.
Publicado: (2025)
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection
por: Yao, Haiming, et al.
Publicado: (2024)
por: Yao, Haiming, et al.
Publicado: (2024)
VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling
por: Cao, Yunkang, et al.
Publicado: (2024)
por: Cao, Yunkang, et al.
Publicado: (2024)
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
por: Cao, Yunkang, et al.
Publicado: (2024)
por: Cao, Yunkang, et al.
Publicado: (2024)
A Masked Reverse Knowledge Distillation Method Incorporating Global and Local Information for Image Anomaly Detection
por: Jiang, Yuxin, et al.
Publicado: (2025)
por: Jiang, Yuxin, et al.
Publicado: (2025)
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
por: Luo, Wei, et al.
Publicado: (2025)
por: Luo, Wei, et al.
Publicado: (2025)
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
por: Yao, Haiming, et al.
Publicado: (2024)
por: Yao, Haiming, et al.
Publicado: (2024)
Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection
por: Bai, Yuhu, et al.
Publicado: (2025)
por: Bai, Yuhu, et al.
Publicado: (2025)
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
por: Cheng, Yuqi, et al.
Publicado: (2025)
por: Cheng, Yuqi, et al.
Publicado: (2025)
Segment Any Anomaly without Training via Hybrid Prompt Regularization
por: Cao, Yunkang, et al.
Publicado: (2023)
por: Cao, Yunkang, et al.
Publicado: (2023)
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion
por: Hu, Jie, et al.
Publicado: (2024)
por: Hu, Jie, et al.
Publicado: (2024)
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
por: Long, Kaifang, et al.
Publicado: (2024)
por: Long, Kaifang, et al.
Publicado: (2024)
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
por: Bai, Yuhu, et al.
Publicado: (2024)
por: Bai, Yuhu, et al.
Publicado: (2024)
URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection
por: Luo, Wei, et al.
Publicado: (2026)
por: Luo, Wei, et al.
Publicado: (2026)
Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection
por: Liu, Jiaxuan, et al.
Publicado: (2026)
por: Liu, Jiaxuan, et al.
Publicado: (2026)
ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
por: Zhang, Qunyi, et al.
Publicado: (2025)
por: Zhang, Qunyi, et al.
Publicado: (2025)
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
por: Luo, Wei, et al.
Publicado: (2025)
por: Luo, Wei, et al.
Publicado: (2025)
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction
por: Liu, Zhaoge, et al.
Publicado: (2024)
por: Liu, Zhaoge, et al.
Publicado: (2024)
Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
por: Chen, Peng, et al.
Publicado: (2026)
por: Chen, Peng, et al.
Publicado: (2026)
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
por: Xu, Xiaohao, et al.
Publicado: (2024)
por: Xu, Xiaohao, et al.
Publicado: (2024)
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
por: Liu, Zhonghang, et al.
Publicado: (2024)
por: Liu, Zhonghang, et al.
Publicado: (2024)
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
por: Zhu, Jiawen, et al.
Publicado: (2024)
por: Zhu, Jiawen, et al.
Publicado: (2024)
PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection
por: Zhou, Qihang, et al.
Publicado: (2025)
por: Zhou, Qihang, et al.
Publicado: (2025)
CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection
por: Chen, Qiyu, et al.
Publicado: (2025)
por: Chen, Qiyu, et al.
Publicado: (2025)
DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution
por: Xu, Chaoran, et al.
Publicado: (2025)
por: Xu, Chaoran, et al.
Publicado: (2025)
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
por: Zhu, Hongze, et al.
Publicado: (2024)
por: Zhu, Hongze, et al.
Publicado: (2024)
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
por: Zhou, Qihang, et al.
Publicado: (2024)
por: Zhou, Qihang, et al.
Publicado: (2024)
Ejemplares similares
-
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2025) -
Multi-View Reconstruction with Global Context for 3D Anomaly Detection
por: Sun, Yihan, et al.
Publicado: (2025) -
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
por: Cao, Yunkang, et al.
Publicado: (2023) -
Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection
por: Sun, Yihan, et al.
Publicado: (2026) -
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2024)