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

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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Bibliographic Details
Main Authors: Kaiqiang Huang, Susan Mckeever, Luis Miralles-Pechuan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Generalized zero-shot action recognition
generalised zero-shot learning
generative adversarial networks
human action recognition
Online Access:https://ieeexplore.ieee.org/document/10379806/

Internet

https://ieeexplore.ieee.org/document/10379806/

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