Anomaly Detection

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Quantile-Based Maximum Likelihood Training for Outlier Detection AAAI 2024 RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection Interspeech 2024 Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection CVPR 2024 RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection CVPR 2024 Real-Time Weakly Supervised Video Anomaly Detection WACV 2024 Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024 ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 ResAD: A Simple Framework for Class Generalizable Anomaly Detection NeurIPS 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection CVPR 2024 SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports IJCAI 2024 Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning IJCAI 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving AAAI 2024 Segment Every Out-of-Distribution Object CVPR 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024 Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors NeurIPS 2024 SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint) IJCAI 2024