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A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion.

, and . CoRR, (2020)

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A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion., and . CoRR, (2020)ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning., , , , , , , and . CoRR, (2023)EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach., and . CoRR, (2019)Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects., , , , and . CoRR, (2024)An improved incremental training approach for large scaled dataset based on support vector machine.. BDCAT, page 149-157. ACM, (2016)Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models., , , , , and . IJCNN, page 1-8. IEEE, (2023)Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning., , , , , , and . CoRR, (2022)ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning., , , , , and . CoRR, (2022)Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention., , , , and . IEEE Trans. Multim., (2023)A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion., and . IEEE Trans. Multim., (2021)