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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
Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
CVPR 2024
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection
AAAI 2024
Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
CVPR 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
CVPR 2024
Dense Projection for Anomaly Detection
AAAI 2024
PromptAD: Zero-Shot Anomaly Detection Using Text Prompts
WACV 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
CVPR 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
CVPR 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
NIPS 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
CVPR 2024
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
CVPR 2024
Benchmarking Out-of-Distribution Detection in Visual Question Answering
WACV 2024
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
CVPR 2024
Supervised Anomaly Detection for Complex Industrial Images
CVPR 2024
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization
CVPR 2024
Contextual Affinity Distillation for Image Anomaly Detection
WACV 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NIPS 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NIPS 2024
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
WACV 2024
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
AAAI 2024
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
WACV 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
NIPS 2024
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
NIPS 2024
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
WACV 2024
SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving
AAAI 2024
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