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open-set classification

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Data-Driven Hierarchical Open Set Recognition

Leveraging Open-Source Large Language Models for Native Language Identification

Acoustic identification of individual animals with hierarchical contrastive learning

FungiTastic: A multi-modal dataset and benchmark for image categorization

Large-Scale Evaluation of Open-Set Image Classification Techniques

BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution

Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss

Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification

IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization

Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation

$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification

Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture

Learning Pairwise Interaction for Generalizable DeepFake Detection

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

Open-Set Automatic Target Recognition

Large-Scale Open-Set Classification Protocols for ImageNet

Open Set Classification of Untranscribed Handwritten Documents

Open-Set Recognition with Gradient-Based Representations

GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification

Unsupervised detection and open-set classification of fast-ramped flexibility activation events

Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation

Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification

Open Set RF Fingerprinting using Generative Outlier Augmentation

Reconstruction guided Meta-learning for Few Shot Open Set Recognition

Improved Robustness to Open Set Inputs via Tempered Mixup

Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery

Open-Set Recognition with Gaussian Mixture Variational Autoencoders

Unifying Few- and Zero-Shot Egocentric Action Recognition

One-vs-Rest Network-based Deep Probability Model for Open Set Recognition

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