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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.00951 |
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| _version_ | 1866913293527941120 |
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| author | Chen, Cheng Ohta, Shoki Nishio, Takayuki Wahib, Mohamed |
| author_facet | Chen, Cheng Ohta, Shoki Nishio, Takayuki Wahib, Mohamed |
| contents | This study explores the feasibility of adapting CSI-guided imaging across varied environments. Focusing on continuous model learning through continuous updates, we investigate CSI-Imager's adaptability in dynamically changing settings, specifically transitioning from an office to an industrial environment. Unlike traditional approaches that may require retraining for new environments, our experimental study aims to validate the potential of CSI-guided imaging to maintain accurate imaging performance through Continuous Learning (CL). By conducting experiments across different scenarios and settings, this work contributes to understanding the limitations and capabilities of existing CSI-guided imaging systems in adapting to new environmental contexts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_00951 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adapting CSI-Guided Imaging Across Diverse Environments: An Experimental Study Leveraging Continuous Learning Chen, Cheng Ohta, Shoki Nishio, Takayuki Wahib, Mohamed Image and Video Processing This study explores the feasibility of adapting CSI-guided imaging across varied environments. Focusing on continuous model learning through continuous updates, we investigate CSI-Imager's adaptability in dynamically changing settings, specifically transitioning from an office to an industrial environment. Unlike traditional approaches that may require retraining for new environments, our experimental study aims to validate the potential of CSI-guided imaging to maintain accurate imaging performance through Continuous Learning (CL). By conducting experiments across different scenarios and settings, this work contributes to understanding the limitations and capabilities of existing CSI-guided imaging systems in adapting to new environmental contexts. |
| title | Adapting CSI-Guided Imaging Across Diverse Environments: An Experimental Study Leveraging Continuous Learning |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2404.00951 |