Jun 27, 2023 · We propose a novel pathway termed Regularized Label Relaxation-based Stacked Autoencoder (RLRSA) to diminish the domain difference between seen and unseen ...
Regularized label relaxation-based stacked autoencoder for zero-shot learning. https://doi.org/10.1007/s10489-023-04686-2. Journal: Applied Intelligence, 2023 ...
Recently, Zero-Shot Learning (ZSL) has gained great attention due to its significant classification performance for novel unobserved classes.
This paper proposes a novel approach by using a two-layer Stacked AutoEncoder with manifold regularizations to construct the tight relations of different ...
This performance boost can be attributed to integrating the label relaxation and class compactness graph constraints into the stacked autoencoder, which ...
This work proposes a novel pathway termed Regularized Label Relaxation-based Stacked Autoencoder (RLRSA) to diminish the domain difference between seen and ...
We propose a novel encoder–decoder framework with attention mechanism on the attribute level for zero-shot learning.
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Regularized label relaxation-based stacked autoencoder for zero-shot learning. Jianqiang Song; Heng Zhao; Haiyan Yao. OriginalPaper 27 June 2023 Pages: 22348 ...
Jul 31, 2024 · Regularized label relaxation-based stacked autoencoder for zero-shot learning. Appl. Intell. 53(19): 22348-22362 (2023). [c2]. view. electronic ...
Nov 17, 2018 · Regularized label relaxation-based stacked autoencoder for zero-shot learning. 2023, Applied Intelligence. Dual autoencoder based zero shot ...