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Anomaly Detection

907 directly classified papers

Papers per year

Papers

NAPGuard: Towards Detecting Naturalistic Adversarial Patches CVPR 2024
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor 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
Segment Every Out-of-Distribution Object CVPR 2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation WACV 2024
Real-Time Weakly Supervised Video Anomaly Detection WACV 2024
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond IJCAI 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint) IJCAI 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection CVPR 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NIPS 2024
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining WACV 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection AAAI 2024
Weakly-Supervised Mirror Detection via Scribble Annotations AAAI 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024
SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving AAAI 2024
Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning IJCAI 2024
Universal Novelty Detection Through Adaptive Contrastive Learning CVPR 2024
Harnessing Large Language Models for Training-free Video Anomaly Detection CVPR 2024
Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract) AAAI 2024
Open-Vocabulary Video Anomaly Detection CVPR 2024