VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization
Author:
Affiliation:
1. Colorado State University,Department of Electrical and Computer Engineering,Fort Collins,CO,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247684.pdf?arnumber=10247684
Reference23 articles.
1. QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices
2. TIPS: Transformer Based Indoor Positioning System Using Both CSI and DoA of WiFi Signal;zhongfeng;IEEE Access,2022
3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale;dosovitskiy;ICLRE,2021
4. DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning
5. Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning
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2. Enhancing Wi-Fi RSS-Based Indoor Positioning Under Dynamic AP Availability: Leveraging Virtual Feature Maps and Contrastive Learning;IEEE Sensors Journal;2024-09-01
3. A Survey on Scalable Wireless Indoor Localization: Techniques, Approaches and Directions;Wireless Personal Communications;2024-06
4. CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25
5. Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning;IEEE Access;2024
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