A nuclide identification method of γ spectrum and model building based on the transformer DOI
Fei Li, Chuyang Luo,

Yingzi Wen

et al.

Nuclear Science and Techniques, Journal Year: 2024, Volume and Issue: 36(1)

Published: Dec. 18, 2024

Language: Английский

Visual-semantic Fuzzy Interaction Network for Zero-shot Learning DOI
Xuemeng Hui, Zhunga Liu, Jiaxiang Liu

et al.

IEEE Transactions on Artificial Intelligence, Journal Year: 2025, Volume and Issue: 6(5), P. 1345 - 1359

Published: Jan. 3, 2025

Zero-shot learning (ZSL) aims to recognize unseen class image objects using manually defined semantic knowledge corresponding both seen and images. The key of ZSL lies in building the interaction between precise data fuzzy knowledge. fuzziness is attributed difficulty quantifying human However, existing methods ignore inherent treat it as during visual-semantic interaction. This not good for transferring from classes classes. In order solve this problem, we propose a Visual-semantic Fuzzy Interaction Network (VSFIN) ZSL. VSFIN utilize an effective encoder-decoder structure, including prototype encoder (SPE) visual feature decoder (VFD). SPE VFD enable features interact with via cross-attention. To achieve VFD, introduce concept membership function set theory design loss function. allows certain degree imprecision interaction, thereby enabling becomingly given Moreover, rank sum test distribution alignment alleviate bias towards Extensive experiments on three widely used benchmarks have demonstrated that outperforms current state-of-the-art under conventional (CZSL) generalized (GZSL) settings.

Language: Английский

Citations

0
A transformer-based dual contrastive learning approach for zero-shot learning DOI
Lei Yu, Ran Jing, Fangfang Li

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129530 - 129530

Published: Feb. 1, 2025

Language: Английский

Citations

0
Vision transformer-based generalized zero-shot learning with data criticizing DOI
Quan Zhou,

Yucuan Liang,

Zhenqi Zhang

et al.

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(6)

Published: Feb. 7, 2025

Language: Английский

Citations

0
ReKon3D: Relation-knowledge aware multi-modal embedding and contrastive GAN for zero-shot 3D recognition DOI
Md. Fokhrul Islam, Sejuti Rahman, Shafin Rahman

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: 640, P. 130264 - 130264

Published: April 28, 2025

Language: Английский

Citations

0
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces DOI Creative Commons

Ji-Wung Han,

Soyeon Bak, Jun-Mo Kim

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121986 - 121986

Published: Oct. 10, 2023

Transfer learning for motor imagery-based brain-computer interfaces (MI-BCIs) struggles with inter-subject variability, hindering its generalization to new users. This paper proposes an advanced implicit transfer framework, META-EEG, designed overcome the challenge arising from variability. By incorporating gradient-based meta-learning intermittent freezing strategy, META-EEG ensures efficient feature representation learning, providing a robust zero-calibration solution. A comparative analysis reveals that significantly outperforms all baseline methods and competing on three different public datasets. Moreover, we demonstrate efficiency of proposed model through neurophysiological feature-representational analysis. With robustness superior performance challenging datasets, provides effective solution calibration-free MI-EEG classification, facilitating broader usability.

Language: Английский

Citations

7
Zero-shot text classification with knowledge resources under label-fully-unseen setting DOI Creative Commons
Yuqi Wang, Wei Wang, Qi Chen

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 128580 - 128580

Published: Sept. 1, 2024

Language: Английский

Citations

2
Consistent penalizing field loss for zero-shot image retrieval DOI
Cong Liu,

Wenhao She,

Minjie Chen

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 236, P. 121287 - 121287

Published: Aug. 25, 2023

Language: Английский

Citations

5
Advancing zero-shot semantic segmentation through attribute correlations DOI
Runtong Zhang, Fanman Meng, Shuai Chen

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: 594, P. 127829 - 127829

Published: May 10, 2024

Language: Английский

Citations

0
Generative-based hybrid model with semantic representations for generalized zero-shot learning DOI
Emre Akdemir, Necaattin Barışçı

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 19(1)

Published: Dec. 2, 2024

Language: Английский

Citations

0
A nuclide identification method of γ spectrum and model building based on the transformer DOI
Fei Li, Chuyang Luo,

Yingzi Wen

et al.

Nuclear Science and Techniques, Journal Year: 2024, Volume and Issue: 36(1)

Published: Dec. 18, 2024

Language: Английский

Citations

0