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Methodology
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Computer Vision
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Analysis
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Anomaly Detection
907 directly classified papers
Papers per year
2005: 1
2006: 2
2008: 1
2009: 3
2010: 1
2011: 4
2012: 2
2013: 13
2014: 4
2015: 7
2016: 12
2017: 7
2018: 13
2019: 41
2020: 51
2021: 81
2022: 67
2023: 145
2024: 156
2025: 241
2026: 55
Papers
Image Copy Detection for Diffusion Models
NIPS 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
NIPS 2024
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
CVPR 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
CVPR 2024
PyGOD: A Python Library for Graph Outlier Detection
JMLR 2024
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)
IJCAI 2024
Weakly-Supervised Mirror Detection via Scribble Annotations
AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Quantile-Based Maximum Likelihood Training for Outlier Detection
AAAI 2024
SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving
AAAI 2024
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection
INTERSPEECH 2024
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy
INTERSPEECH 2024
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
AAAI 2024
Classifying Cable Tendency With Semantic Segmentation by Utilizing Real and Simulated RGB Data
WACV 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
AAAI 2024
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
WACV 2024
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
NIPS 2024
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
IJCAI 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
NIPS 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
NIPS 2024
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism
INTERSPEECH 2024
A New Benchmark and Model for Challenging Image Manipulation Detection
AAAI 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
AAAI 2024
FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement
IJCAI 2024
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