Generalized Zero-Shot Learning for Action Recognition Fusing Text and Image GANs

Generalized Zero-Shot Action Recognition (GZSAR) is geared towards recognizing classes that the model has not been trained on, while still maintaining robust performance on the familiar, trained classes. This approach mitigates the need for an extensive amount of labeled training data and enhances t...

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Principais autores:	Kaiqiang Huang, Susan Mckeever, Luis Miralles-Pechuan
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Generalized zero-shot action recognition generalised zero-shot learning generative adversarial networks human action recognition
在線閱讀:	https://ieeexplore.ieee.org/document/10379806/
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