DINO-AD: Unsupervised Anomaly Detection with Frozen DINO-V3 Features
Fuente:
arXiv
Guardado en:
| Autores principales: | Huo, Jiayu, Hong, Jingyuan, Chen, Liyun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EndoDINO: A Foundation Model for GI Endoscopy
por: Dermyer, Patrick, et al.
Publicado: (2025)
por: Dermyer, Patrick, et al.
Publicado: (2025)
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
por: Beizaee, Farzad, et al.
Publicado: (2025)
por: Beizaee, Farzad, et al.
Publicado: (2025)
DINO-LG: Enhancing Vision Transformers with Label Guidance for Coronary Artery Calcium Detection
por: Gokmen, Mahmut S., et al.
Publicado: (2024)
por: Gokmen, Mahmut S., et al.
Publicado: (2024)
U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
por: Zhang, Qi, et al.
Publicado: (2025)
por: Zhang, Qi, et al.
Publicado: (2025)
DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
por: Liu, Xinyu, et al.
Publicado: (2026)
por: Liu, Xinyu, et al.
Publicado: (2026)
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
por: Marimont, Sergio Naval, et al.
Publicado: (2023)
por: Marimont, Sergio Naval, et al.
Publicado: (2023)
Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces
por: Yang, Hao-Chun, et al.
Publicado: (2024)
por: Yang, Hao-Chun, et al.
Publicado: (2024)
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
por: Olsen, Markus Ditlev Sjøgren, et al.
Publicado: (2024)
por: Olsen, Markus Ditlev Sjøgren, et al.
Publicado: (2024)
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
por: Wolleb, Julia, et al.
Publicado: (2024)
por: Wolleb, Julia, et al.
Publicado: (2024)
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
por: Xiang, Tiange, et al.
Publicado: (2024)
por: Xiang, Tiange, et al.
Publicado: (2024)
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
por: Xu, Rui, et al.
Publicado: (2024)
por: Xu, Rui, et al.
Publicado: (2024)
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation
por: Huo, Jiayu, et al.
Publicado: (2024)
por: Huo, Jiayu, et al.
Publicado: (2024)
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
por: Kobayashi, Kazuma, et al.
Publicado: (2020)
por: Kobayashi, Kazuma, et al.
Publicado: (2020)
CytoDINO: Risk-Aware and Biologically-Informed Adaptation of DINOv3 for Bone Marrow Cytomorphology
por: Muminov, Aziz, et al.
Publicado: (2025)
por: Muminov, Aziz, et al.
Publicado: (2025)
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
por: Bi, Yuan, et al.
Publicado: (2024)
por: Bi, Yuan, et al.
Publicado: (2024)
Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology
por: Cui, Can, et al.
Publicado: (2025)
por: Cui, Can, et al.
Publicado: (2025)
Generative Medical Segmentation
por: Huo, Jiayu, et al.
Publicado: (2024)
por: Huo, Jiayu, et al.
Publicado: (2024)
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping
por: Yang, Hao-Chun, et al.
Publicado: (2023)
por: Yang, Hao-Chun, et al.
Publicado: (2023)
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
por: Behrendt, Finn, et al.
Publicado: (2024)
por: Behrendt, Finn, et al.
Publicado: (2024)
Towards Universal Unsupervised Anomaly Detection in Medical Imaging
por: Bercea, Cosmin I., et al.
Publicado: (2024)
por: Bercea, Cosmin I., et al.
Publicado: (2024)
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
por: Zhang, Zhe, et al.
Publicado: (2025)
por: Zhang, Zhe, et al.
Publicado: (2025)
Unified Unsupervised Anomaly Detection via Matching Cost Filtering
por: Zhang, Zhe, et al.
Publicado: (2025)
por: Zhang, Zhe, et al.
Publicado: (2025)
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
por: Chen, Junzhuo, et al.
Publicado: (2024)
por: Chen, Junzhuo, et al.
Publicado: (2024)
Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
por: Neri, Michael, et al.
Publicado: (2025)
por: Neri, Michael, et al.
Publicado: (2025)
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection
por: Behrendt, Finn, et al.
Publicado: (2024)
por: Behrendt, Finn, et al.
Publicado: (2024)
BMAD: Benchmarks for Medical Anomaly Detection
por: Bao, Jinan, et al.
Publicado: (2023)
por: Bao, Jinan, et al.
Publicado: (2023)
Latent Anomaly Detection: Masked VQ-GAN for Unsupervised Segmentation in Medical CBCT
por: Wang, Pengwei
Publicado: (2025)
por: Wang, Pengwei
Publicado: (2025)
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
por: Behrendt, Finn, et al.
Publicado: (2023)
por: Behrendt, Finn, et al.
Publicado: (2023)
Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning
por: Chen, Sheng, et al.
Publicado: (2024)
por: Chen, Sheng, et al.
Publicado: (2024)
Variational Autoencoder for Anomaly Detection: A Comparative Study
por: Nguyen, Huy Hoang, et al.
Publicado: (2024)
por: Nguyen, Huy Hoang, et al.
Publicado: (2024)
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
por: Trivedi, Vivek Kumar, et al.
Publicado: (2024)
por: Trivedi, Vivek Kumar, et al.
Publicado: (2024)
Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging
por: Chen, Jingkun, et al.
Publicado: (2025)
por: Chen, Jingkun, et al.
Publicado: (2025)
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
por: Pan, Zixuan, et al.
Publicado: (2024)
por: Pan, Zixuan, et al.
Publicado: (2024)
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
por: Zhang, Zhemin, et al.
Publicado: (2024)
por: Zhang, Zhemin, et al.
Publicado: (2024)
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images
por: Roy, Santanu, et al.
Publicado: (2024)
por: Roy, Santanu, et al.
Publicado: (2024)
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
por: Fontanella, Alessandro, et al.
Publicado: (2023)
por: Fontanella, Alessandro, et al.
Publicado: (2023)
Equivariant Learning for Unsupervised Image Dehazing
por: Wen, Zhang, et al.
Publicado: (2026)
por: Wen, Zhang, et al.
Publicado: (2026)
Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
por: Tie, Yiyang, et al.
Publicado: (2025)
por: Tie, Yiyang, et al.
Publicado: (2025)
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
por: Jiang, Shiqi, et al.
Publicado: (2025)
por: Jiang, Shiqi, et al.
Publicado: (2025)
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators
por: Das, Laya, et al.
Publicado: (2023)
por: Das, Laya, et al.
Publicado: (2023)
Ejemplares similares
-
EndoDINO: A Foundation Model for GI Endoscopy
por: Dermyer, Patrick, et al.
Publicado: (2025) -
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
por: Beizaee, Farzad, et al.
Publicado: (2025) -
DINO-LG: Enhancing Vision Transformers with Label Guidance for Coronary Artery Calcium Detection
por: Gokmen, Mahmut S., et al.
Publicado: (2024) -
U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
por: Zhang, Qi, et al.
Publicado: (2025) -
DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation
por: Liu, Xinyu, et al.
Publicado: (2026)