Learning Multiple Criteria Calibration for Generalized Zero-shot Learning-Reference-Cited by-同舟云学术

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Learning Multiple Criteria Calibration for Generalized Zero-shot Learning

Published:2024-09 Issue: Volume:300 Page:112131
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lu Ziqian^ORCID,Lu Zhe-Ming^ORCID,Yu Yunlong,He Zewei,Luo Hao,Zheng Yangming

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

China Postdoctoral Science Foundation

Key Research and Development Program of Zhejiang Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference58 articles.

1. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778.

2. Y. Xian, B. Schiele, Z. Akata, Zero-shot learning-the good, the bad and the ugly, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017, pp. 4582–4591.

3. W. Xu, Y. Xian, J. Wang, B. Schiele, Z. Akata, Vgse: Visually-grounded semantic embeddings for zero-shot learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 9316–9325.

4. L. Liu, T. Zhou, G. Long, J. Jiang, C. Zhang, Attribute propagation network for graph zero-shot learning, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, 2020, pp. 4868–4875.

5. Attributes learning network for generalized zero-shot learning;Yun;Neural Netw.,2022

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