M4X: Enhancing Cross-View Generalizability in RF-Based Human Activity Recognition by Exploiting Synthetic Data in Metric Learning
Author:
Affiliation:
1. Stony Brook University,Department of Electrical and Computer Engineering
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10614360/10614402/10614436.pdf?arnumber=10614436
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4. Towards Domain-Independent and Real-Time Gesture Recognition Using Mmwave Signal
5. Widar3.0: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi
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