Cited By
View all- Tian MWu XJia Y(2023)Adaptive Latent Graph Representation Learning for Image-Text MatchingIEEE Transactions on Image Processing10.1109/TIP.2022.322963132(471-482)Online publication date: 2023
Multi-label Zero-Shot Learning (ZSL) is an extension of traditional single-label ZSL, where the objective is to accurately classify images containing multiple unseen classes that are not available during training. Current techniques depends on ...
Deep learning tasks rely heavily on a large amount of training data, but collecting and annotating data daily is not practical. Therefore, Zero-shot learning (ZSL) has become important for the applications, where no labeled data is ...
In the absence of unseen training data, zero-shot learning algorithms utilize the semantic knowledge shared by the seen and unseen classes to establish the connection between the visual space and the semantic space, so as to realize ...
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