Class-specific and self-learning local manifold structure for domain adaptation-Reference-Cited by-同舟云学术

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Class-specific and self-learning local manifold structure for domain adaptation

Published:2023-10 Issue: Volume:142 Page:109654
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Wei,Wang Mengzhu,Dong Xiao,Lan Long,Zu Quannan,Zhang Xiang,Wang Cong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Joint self-attention and scale-aggregation for self-calibrated deraining network;Wang,2020

2. DCSFN: deep cross-scale fusion network for single image rain removal;Wang,2020

3. Learning smooth representations with generalized softmax for unsupervised domain adaptation;Han;Inf. Sci.,2021

4. Cross adversarial consistency self-prediction learning for unsupervised domain adaptation person re-identification;Li;Inf. Sci.,2021

5. Second order takagi-sugeno fuzzy model with domain adaptation for nonlinear regression;Sun;Inf. Sci.,2021

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1. Graph domain adaptation with localized graph signal representations;Pattern Recognition;2024-11

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