anomaly detection

740 papers

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Also known as

IAD UAD AD

Co-occurring keywords

unsupervised learning (3255) out-of-distribution detection (611) self-supervised learning (3751) representation learning (6174) diffusion model (3720) graph neural network (3945) semantic segmentation (3179) generative model (2889) contrastive learning (3979) outlier detection (318)

Papers

RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting AAAI 2026

WDT-MD: Wavelet Diffusion Transformers for Microaneurysm Detection in Fundus Images AAAI 2026

Finding Time Series Anomalies Using Granular-Ball Vector Data Description AAAI 2026

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AAAI 2026

CADiff: Context-Aware Diffusion for Controllable Anomaly Generation in Anomaly Detection AAAI 2026

DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation WACV 2026

VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion WACV 2026

Can Image Splicing and Copy-Move Forgery Be Detected by the Same Model? Forensim: An Attention-Based State-Space Approach WACV 2026

ART-ASyn: Anatomy-aware Realistic Texture-based Anomaly Synthesis Framework for Chest X-Rays WACV 2026

Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy WACV 2026

PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection WACV 2026

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection EACL 2026

CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-based Anomaly Synthesis AAAI 2026

FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026

D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies AAAI 2026

FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding AAAI 2026

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025

GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025

Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection AAAI 2025

Kaputt: A Large-Scale Dataset for Visual Defect Detection ICCV 2025

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics AAAI 2025

Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection CVPR 2025

A Generalizable Anomaly Detection Method in Dynamic Graphs AAAI 2025

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025