Co-occurring keywords · papers mentioning both
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