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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
EVAL: Explainable Video Anomaly Localization
CVPR 2023
Towards Universal Fake Image Detectors That Generalize Across Generative Models
CVPR 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
CVPR 2023
Out-of-Distribution Detection for Monocular Depth Estimation
ICCV 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
ICCV 2023
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
CVPR 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
NIPS 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
NIPS 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
NIPS 2023
ADGym: Design Choices for Deep Anomaly Detection
NIPS 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
NIPS 2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
CVPR 2023
Video Event Restoration Based on Keyframes for Video Anomaly Detection
CVPR 2023
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
CVPR 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NIPS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
NIPS 2023
HiBug: On Human-Interpretable Model Debug
NIPS 2023
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
CVPR 2023
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
CVPR 2023
FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
ICCV 2023
Real3D-AD: A Dataset of Point Cloud Anomaly Detection
NIPS 2023
Zero-Shot Anomaly Detection via Batch Normalization
NIPS 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
NIPS 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NIPS 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
NIPS 2023
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