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Novelty Detection

Scientific Novelty Detection

Papers

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Showing 1–50 of 249 papers

TitleStatusHype
SimpleNet: A Simple Network for Image Anomaly Detection and LocalizationCode2
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly DetectionCode2
Anomaly Detection via Reverse Distillation from One-Class EmbeddingCode2
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
Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication TextCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
CreativeGAN: Editing Generative Adversarial Networks for Creative Design SynthesisCode1
Semantic Novelty Detection via Relational ReasoningCode1
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty DetectionCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
Open-Set Gait Recognition from Sparse mmWave Radar Point CloudsCode1
Latent World Models For Intrinsically Motivated ExplorationCode1
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty DetectionCode1
MorphoCluster: Efficient Annotation of Plankton images by ClusteringCode1
One-Class Convolutional Neural NetworkCode1
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency RegularizationCode1
Stream-51: Streaming Classification and Novelty Detection from VideosCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
RaPP: Novelty Detection with Reconstruction along Projection PathwayCode1
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with OutliersCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
OpenAUC: Towards AUC-Oriented Open-Set RecognitionCode1
Navigating Open Set Scenarios for Skeleton-based Action RecognitionCode1
Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems—0
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution—0
A Survey on Open Set Recognition—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
Adaptive learning of density ratios in RKHS—0
A Survey of Inductive Biases for Factorial Representation-Learning—0
Novelty Detection in Reinforcement Learning with World Models—0
An Improved System for Sentence-level Novelty Detection in Textual Streams—0
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Adaptable and Interpretable Framework for Novelty Detection in Real-Time IoT Systems—0
A comparative evaluation of novelty detection algorithms for discrete sequences—0
Difference-Seeking Generative Adversarial Network--Unseen Sample Generation—0
Detecting Novel Processes with CANDIES -- An Holistic Novelty Detection Technique based on Probabilistic Models—0
Distance-based Confidence Score for Neural Network Classifiers—0
Connective Reconstruction-based Novelty Detection—0
Deep Variational Semi-Supervised Novelty Detection—0
Constraints on Hebbian and STDP learned weights of a spiking neuron—0
An Efficient One-Class SVM for Anomaly Detection in the Internet of Things—0
Continual Improvement of Threshold-Based Novelty Detection—0
A Robust Likelihood Model for Novelty Detection—0
CONCLAD: COntinuous Novel CLAss Detector—0
Comparison Visual Instruction Tuning—0
Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
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