Vision Transformer-Based Feature Extraction for Generalized Zero-Shot Learning-Reference-Cited by-同舟云学术

Vision Transformer-Based Feature Extraction for Generalized Zero-Shot Learning

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Kim Jiseob¹,Shim Kyuhong¹,Kim Junhan¹,Shim Byonghyo¹

Affiliation:

1. Seoul National University,Department of Electrical and Computer Engineering,Seoul,Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095217.pdf?arnumber=10095217

Reference15 articles.

1. Semantic Feature Extraction for Generalized Zero-Shot Learning

2. Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition

3. Compositional zero-shot learning via fine-grained dense feature composition;huynh;Advances in neural information processing systems,2020

4. Fine-grained gen-eralized zero-shot learning via dense attribute-based attention;huynh;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2020

5. Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning

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