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Research progress of zero-shot learning
Applied Intelligence, 2020Although there have been encouraging breakthroughs in supervised learning since the renaissance of deep learning, the recognition of large-scale object classes remains a challenge, especially when some classes have no or few training samples. In this paper, the development of ZSL is reviewed comprehensively, including the evolution, key technologies ...
Xiaohong Sun, Jinan Gu, Hongying Sun
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ZSGL: zero shot gestural learning
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017Gesture recognition systems enable humans to interact with machines in an intuitive and a natural way. Humans tend to create the gestures on the fly and conventional systems lack adaptability to learn new gestures beyond the training stage. This problem can be best addressed using Zero Shot Learning (ZSL), a paradigm in machine learning that aims to ...
Naveen Madapana, Juan P. Wachs
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A Review of Generalized Zero-Shot Learning Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Xizhao Wang, Ran Wang, Moloud Abdar
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A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys, 2023Mondal Subrota Kumar +2 more
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Dual Projective Zero-Shot Learning Using Text Descriptions
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Yunbo Rao, Qifei Wang, Jiansu Pu
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Zero-Shot Learning with Joint Generative Adversarial Networks
Electronics (Switzerland), 2023Yueting Shi +2 more
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Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification
Remote Sensing, 2022Eduardo Silva +2 more
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Zero-shot learning with self-supervision by shuffling semantic embeddings
Neurocomputing, 2021Hyeran Byun
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MeshCLIP: Efficient cross-modal information processing for 3D mesh data in zero/few-shot learning
Information Processing and Management, 2023Fazhi He
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Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey
Proceedings of the IEEE, 2023Huajun Chen, Ian Horrocks, Jeff Z Pan
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