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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 1–25 of 249 papers

TitleStatusHype
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly DetectionCode2
APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot ADCode2
SimpleNet: A Simple Network for Image Anomaly Detection and LocalizationCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
Open-Set Gait Recognition from Sparse mmWave Radar Point CloudsCode1
Navigating Open Set Scenarios for Skeleton-based Action RecognitionCode1
Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication TextCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
OpenAUC: Towards AUC-Oriented Open-Set RecognitionCode1
Semantic Novelty Detection via Relational ReasoningCode1
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty DetectionCode1
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency RegularizationCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with OutliersCode1
CreativeGAN: Editing Generative Adversarial Networks for Creative Design SynthesisCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Latent World Models For Intrinsically Motivated ExplorationCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
Stream-51: Streaming Classification and Novelty Detection from VideosCode1
MorphoCluster: Efficient Annotation of Plankton images by ClusteringCode1
RaPP: Novelty Detection with Reconstruction along Projection PathwayCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty DetectionCode1
One-Class Convolutional Neural NetworkCode1
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