From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Dehn, Katzke, Tim, Müller, Emmanuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
by: Bugarin, Nikola, et al.
Published: (2024)
by: Bugarin, Nikola, et al.
Published: (2024)
Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
by: Ruhland, Jan Benedikt, et al.
Published: (2025)
by: Ruhland, Jan Benedikt, et al.
Published: (2025)
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
by: Vartak, Akash, et al.
Published: (2025)
by: Vartak, Akash, et al.
Published: (2025)
Building Deep Graph Predictors with Graph Imitation Learning
by: Eberhard, André, et al.
Published: (2026)
by: Eberhard, André, et al.
Published: (2026)
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
by: Bauer, Alexander, et al.
Published: (2022)
by: Bauer, Alexander, et al.
Published: (2022)
Bi-Grid Reconstruction for Image Anomaly Detection
by: Huang, Huichuan, et al.
Published: (2025)
by: Huang, Huichuan, et al.
Published: (2025)
Supervised Anomaly Detection for Complex Industrial Images
by: Baitieva, Aimira, et al.
Published: (2024)
by: Baitieva, Aimira, et al.
Published: (2024)
Weakly Supervised Pixel-Level Annotation with Visual Interpretability
by: Nasir, Basma, et al.
Published: (2025)
by: Nasir, Basma, et al.
Published: (2025)
Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023)
by: Yoo, Jaemin, et al.
Published: (2023)
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
by: Patra, Sukanya, et al.
Published: (2024)
by: Patra, Sukanya, et al.
Published: (2024)
High Dimensional Data Decomposition for Anomaly Detection of Textured Images
by: Song, Ji, et al.
Published: (2025)
by: Song, Ji, et al.
Published: (2025)
Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision
by: Borodin, Kirill, et al.
Published: (2026)
by: Borodin, Kirill, et al.
Published: (2026)
Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
by: Rahman, Md Awsafur, et al.
Published: (2026)
by: Rahman, Md Awsafur, et al.
Published: (2026)
From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images
by: Chen, Yiming, et al.
Published: (2025)
by: Chen, Yiming, et al.
Published: (2025)
Anomaly-Preference Image Generation
by: Wang, Fuyun, et al.
Published: (2026)
by: Wang, Fuyun, et al.
Published: (2026)
From Pixels to Prose: A Large Dataset of Dense Image Captions
by: Singla, Vasu, et al.
Published: (2024)
by: Singla, Vasu, et al.
Published: (2024)
Pixels to Prose: Understanding the art of Image Captioning
by: Singh, Hrishikesh, et al.
Published: (2024)
by: Singh, Hrishikesh, et al.
Published: (2024)
Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
by: Di Piazza, Theo, et al.
Published: (2025)
by: Di Piazza, Theo, et al.
Published: (2025)
GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network
by: Song, Xianfeng, et al.
Published: (2024)
by: Song, Xianfeng, et al.
Published: (2024)
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
by: Yang, Aitao, et al.
Published: (2024)
by: Yang, Aitao, et al.
Published: (2024)
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks
by: Ganguly, Debargha, et al.
Published: (2024)
by: Ganguly, Debargha, et al.
Published: (2024)
Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?
by: Yan, Xinchen, et al.
Published: (2025)
by: Yan, Xinchen, et al.
Published: (2025)
Concept Inconsistency in Dermoscopic Concept Bottleneck Models: A Rough-Set Analysis of the Derm7pt Dataset
by: Nápoles, Gonzalo, et al.
Published: (2026)
by: Nápoles, Gonzalo, et al.
Published: (2026)
From Pixels to Patches: Pooling Strategies for Earth Embeddings
by: Corley, Isaac, et al.
Published: (2026)
by: Corley, Isaac, et al.
Published: (2026)
GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation
by: Banerjee, Ayan, et al.
Published: (2024)
by: Banerjee, Ayan, et al.
Published: (2024)
On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
by: Le-Gia, Tai
Published: (2025)
by: Le-Gia, Tai
Published: (2025)
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)
by: Liu, Yidan, et al.
Published: (2024)
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
by: Salzmann, Tim, et al.
Published: (2024)
by: Salzmann, Tim, et al.
Published: (2024)
Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)
Graph Query Networks for Object Detection with Automotive Radar
by: Saini, Loveneet, et al.
Published: (2025)
by: Saini, Loveneet, et al.
Published: (2025)
Modular Graph Extraction for Handwritten Circuit Diagram Images
by: Bayer, Johannes, et al.
Published: (2024)
by: Bayer, Johannes, et al.
Published: (2024)
Differential Anomaly Detection for Facial Images
by: Ibsen, Mathias, et al.
Published: (2021)
by: Ibsen, Mathias, et al.
Published: (2021)
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
by: Zhang, Yiheng, et al.
Published: (2024)
by: Zhang, Yiheng, et al.
Published: (2024)
Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)
by: Cohen, Niv, et al.
Published: (2023)
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models
by: NVIDIA, et al.
Published: (2024)
by: NVIDIA, et al.
Published: (2024)
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction
by: Wang, Yuchen, et al.
Published: (2024)
by: Wang, Yuchen, et al.
Published: (2024)
A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
by: Bi, Jingjun, et al.
Published: (2025)
by: Bi, Jingjun, et al.
Published: (2025)
Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection
by: Xiao, Haibo, et al.
Published: (2026)
by: Xiao, Haibo, et al.
Published: (2026)
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)
by: Baade, Alan, et al.
Published: (2026)
FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)
by: Lin, Mingfeng, et al.
Published: (2026)
Similar Items
-
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
by: Bugarin, Nikola, et al.
Published: (2024) -
Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
by: Ruhland, Jan Benedikt, et al.
Published: (2025) -
DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
by: Vartak, Akash, et al.
Published: (2025) -
Building Deep Graph Predictors with Graph Imitation Learning
by: Eberhard, André, et al.
Published: (2026) -
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
by: Bauer, Alexander, et al.
Published: (2022)