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anomaly detection

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Papers

LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection AAAI 2021 MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes CVPR 2021 Masked Contrastive Learning for Anomaly Detection IJCAI 2021 MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021 Multiresolution Knowledge Distillation for Anomaly Detection CVPR 2021 Multiscale Score Matching for Out-of-Distribution Detection ICLR 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 Negative Data Augmentation ICLR 2021 Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection AAAI 2021 Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021 Neural Transformation Learning for Deep Anomaly Detection Beyond Images ICML 2021 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021 One-class Text Classification with Multi-modal Deep Support Vector Data Description EACL 2021 Online false discovery rate control for anomaly detection in time series NeurIPS 2021 OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild ICCV 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021 Pixel-Wise Anomaly Detection in Complex Driving Scenes CVPR 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection IJCAI 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling ICCV 2021 Scalable Certified Segmentation via Randomized Smoothing ICML 2021 Semantic Novelty Detection in Natural Language Descriptions EMNLP 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment NeurIPS 2021 Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation ICCV 2021