Procedural Generation of Videos to Train Deep Action Recognition Networks

Author:

De Souza Cesar Roberto,Gaidon Adrien,Cabon Yohann,Lopez Antonio Manuel

Publisher

IEEE

Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data;Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2023-09-18

2. Automotive Paint Defect Classification: Factory-Specific Data Generation using CG Software for Deep-Learning Models;Journal of Imaging Science and Technology;2023-09-01

3. Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Deep Unsupervised Key Frame Extraction for Efficient Video Classification;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-02-25

5. Synthesizing 3D Gait Data with Personalized Walking Style and Appearance;Applied Sciences;2023-02-06

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