Multi-Modality Action Recognition Based on Dual Feature Shift in Vehicle Cabin Monitoring
Author:
Affiliation:
1. Nanyang Technological University,Continental-NTU Corporate Lab,Singapore
2. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore
3. Continental Automotive Singapore Pte. Ltd.,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448437.pdf?arnumber=10448437
Reference14 articles.
1. Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey
2. Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
3. SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract)
4. VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
5. TSM: Temporal Shift Module for Efficient Video Understanding
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