Copertina

A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Samele, Stefano, Lomurno, Eugenio, Jovanovic, Teodora, Manohar, Sanjay Shivakumar, Crivellaro, Alberto, Matteucci, Matteo
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
di: Lomurno, Eugenio, et al.
Pubblicazione: (2024)

Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
di: Lomurno, Eugenio, et al.
Pubblicazione: (2024)

MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation
di: Catalano, Nico, et al.
Pubblicazione: (2025)

Stable Diffusion Dataset Generation for Downstream Classification Tasks
di: Lomurno, Eugenio, et al.
Pubblicazione: (2024)

POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator
di: Lomurno, Eugenio, et al.
Pubblicazione: (2024)

Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation
di: Savazzi, Giacomo, et al.
Pubblicazione: (2025)

Your Image Generator Is Your New Private Dataset
di: Resmini, Nicolo, et al.
Pubblicazione: (2025)

PolyGen: Fully Synthetic Vision-Language Training via Multi-Generator Ensembles
di: Brusini, Leonardo, et al.
Pubblicazione: (2026)

Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation
di: Erbil, Pinar, et al.
Pubblicazione: (2026)

FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
di: Archetti, Alberto, et al.
Pubblicazione: (2024)

A Lightweight Neural Architecture Search Model for Medical Image Classification
di: Xie, Lunchen, et al.
Pubblicazione: (2024)

ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm
di: Xie, Lunchen, et al.
Pubblicazione: (2025)

SCENEFORGE: Enhancing 3D-text alignment with Structured Scene Compositions
di: Sbrolli, Cristian, et al.
Pubblicazione: (2025)

Inference-Time Refinement Closes the Synthetic-Real Gap in Tabular Diffusion
di: Lomurno, Eugenio, et al.
Pubblicazione: (2026)

Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
di: Sbrolli, Cristian, et al.
Pubblicazione: (2024)

Benchmarking Recurrent Event-Based Object Detection for Industrial Multi-Class Recognition on MTevent
di: Manohar, Lokeshwaran, et al.
Pubblicazione: (2026)

Text-Guided Multimodal Unified Industrial Anomaly Detection
di: Li, Zewen, et al.
Pubblicazione: (2026)

Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models
di: Sbrolli, Cristian, et al.
Pubblicazione: (2026)

Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges
di: Catalano, Nico, et al.
Pubblicazione: (2023)

No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs
di: Sbrolli, Cristian, et al.
Pubblicazione: (2024)

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection
di: Goodge, Adam, et al.
Pubblicazione: (2024)

Act, Think or Abstain: Complexity-Aware Adaptive Inference for Vision-Language-Action Models
di: Izzo, Riccardo Andrea, et al.
Pubblicazione: (2026)

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
di: Costanzino, Alex, et al.
Pubblicazione: (2025)

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

CLASH: A Benchmark for Cross-Modal Contradiction Detection
di: Popordanoska, Teodora, et al.
Pubblicazione: (2025)

Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
di: Weatherly, Chad, et al.
Pubblicazione: (2026)

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
di: Zhang, Qunyi, et al.
Pubblicazione: (2025)

The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
di: Cudrano, Paolo, et al.
Pubblicazione: (2024)

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
di: Qian, Long, et al.
Pubblicazione: (2025)

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
di: Behrendt, Finn, et al.
Pubblicazione: (2023)

When do Convolutional Neural Networks Stop Learning?
di: Ahmad, Sahan, et al.
Pubblicazione: (2024)

When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models
di: Yakun, Cui, et al.
Pubblicazione: (2026)

OpenFusion++: An Open-vocabulary Real-time Scene Understanding System
di: Jin, Xiaofeng, et al.
Pubblicazione: (2025)

Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0
di: Baghdadi, Fatemeh, et al.
Pubblicazione: (2024)

Anomaly Detection with Conditioned Denoising Diffusion Models
di: Mousakhan, Arian, et al.
Pubblicazione: (2023)

EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear
di: Aspesi, Andrea, et al.
Pubblicazione: (2025)

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

SGR-OCC: Evolving Monocular Priors for Embodied 3D Occupancy Prediction via Soft-Gating Lifting and Semantic-Adaptive Geometric Refinement
di: Guo, Yiran, et al.
Pubblicazione: (2026)

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

When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection
di: Dulal, Rabin, et al.
Pubblicazione: (2025)