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Novelty Detection

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Harnessing Large Language Models for Scientific Novelty Detection

SuperAD: A Training-free Anomaly Classification and Segmentation Method for CVPR 2025 VAND 3.0 Workshop Challenge Track 1: Adapt & Detect

AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis

Isolation Forest in Novelty Detection Scenario

GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation

Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems

Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts

Killing it with Zero-Shot: Adversarially Robust Novelty Detection

Score Combining for Contrastive OOD Detection

Uncertainty Quantification in Continual Open-World Learning

Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection

CONCLAD: COntinuous Novel CLAss Detector

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings

Representational learning for an anomalous sound detection system with source separation model

Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor

NovAScore: A New Automated Metric for Evaluating Document Level Novelty

Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition

Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application

Universal Novelty Detection Through Adaptive Contrastive Learning

Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection

Comparison Visual Instruction Tuning

Remembering Transformer for Continual Learning

Beyond the Known: Adversarial Autoencoders in Novelty Detection

Hypothesis-Driven Deep Learning for Out of Distribution Detection

Novelty Detection on Radio Astronomy Data using Signatures

Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Self-supervised New Activity Detection in Sensor-based Smart Environments

Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection

Managing the unknown: a survey on Open Set Recognition and tangential areas

Navigating Open Set Scenarios for Skeleton-based Action Recognition

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

Incremental Object-Based Novelty Detection with Feedback Loop

Transductive conformal inference with adaptive scores

Novelty Detection in Reinforcement Learning with World Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.