Imagen de Portada

DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Noghredeh, Amirhossein Khadivi, Safari, Abdollah, Ziaeetabar, Fatemeh, Haghighi, Firoozeh
Formato:	Preprint
Publicado:	2025
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

Why Relational Graphs Will Save the Next Generation of Vision Foundation Models?
por: Ziaeetabar, Fatemeh
Publicado: (2025)

EfficientGFormer: Multimodal Brain Tumor Segmentation via Pruned Graph-Augmented Transformer
por: Ziaeetabar, Fatemeh
Publicado: (2025)

Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains
por: Ziaeetabar, Fatemeh
Publicado: (2026)

Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
por: Ziaeetabar, Fatemeh, et al.
Publicado: (2025)

Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder
por: Movahed, Yousef Azizi, et al.
Publicado: (2025)

PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances
por: Heidler, Konrad, et al.
Publicado: (2024)

Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
por: Ma, Chao, et al.
Publicado: (2024)

Reasoning-Driven Anomaly Detection and Localization with Image-Level Supervision
por: Jin, Yizhou, et al.
Publicado: (2026)

Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection
por: Mumcu, Furkan, et al.
Publicado: (2025)

From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images
por: Xu, Dehn, et al.
Publicado: (2025)

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
por: Bugarin, Nikola, et al.
Publicado: (2024)

GeoTeacher: Geometry-Guided Semi-Supervised 3D Object Detection
por: Li, Jingyu, et al.
Publicado: (2025)

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

Depth-Guided Semi-Supervised Instance Segmentation
por: Chen, Xin, et al.
Publicado: (2024)

Semi-Supervised Defect Detection via Conditional Diffusion and CLIP-Guided Noise Filtering
por: Li, Shuai, et al.
Publicado: (2025)

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
por: Lee, Junhee, et al.
Publicado: (2025)

Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
por: Maeda, Shun, et al.
Publicado: (2024)

Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach
por: Zhang, Zeduo, et al.
Publicado: (2025)

MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
por: Qian, Long, et al.
Publicado: (2025)

Weakly Supervised Pixel-Level Annotation with Visual Interpretability
por: Nasir, Basma, et al.
Publicado: (2025)

MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
por: Chen, Junzhuo, et al.
Publicado: (2024)

PixOOD: Pixel-Level Out-of-Distribution Detection
por: Vojíř, Tomáš, et al.
Publicado: (2024)

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
por: Zhu, Jiawen, et al.
Publicado: (2023)

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
por: Han, Jianhong, et al.
Publicado: (2025)

Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstruction
por: Liu, Wuyi, et al.
Publicado: (2025)

Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
por: Roy, Shuvendu, et al.
Publicado: (2022)

Active Self-Semi-Supervised Learning for Few Labeled Samples
por: Wen, Ziting, et al.
Publicado: (2022)

Dual Guidance Semi-Supervised Action Detection
por: Singh, Ankit, et al.
Publicado: (2025)

Semi-Supervised Domain Adaptation for Wildfire Detection
por: Jang, JooYoung, et al.
Publicado: (2024)

CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation
por: Howlader, Prantik, et al.
Publicado: (2025)

Ranking-Guided Semi-Supervised Domain Adaptation for Severity Classification
por: Harada, Shota, et al.
Publicado: (2026)

Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
por: Abhishek, Kumar, et al.
Publicado: (2026)

Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
por: Galappaththige, Chamuditha Jayanaga, et al.
Publicado: (2024)

Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
por: Howlader, Prantik, et al.
Publicado: (2024)

Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
por: Osman, Nada, et al.
Publicado: (2024)

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
por: Shehzadi, Tahira, et al.
Publicado: (2024)

Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation
por: Du, Ye, et al.
Publicado: (2024)

Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
por: Wang, Yu, et al.
Publicado: (2026)

VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection
por: Zhong, Liangyu, et al.
Publicado: (2024)

Practical Insights into Semi-Supervised Object Detection Approaches
por: Wang, Chaoxin, et al.
Publicado: (2026)