Edge accelerator for lifelong deep learning using streaming linear discriminant analysis
Lifelong deep learning models are expected to continuously adapt and acquire new knowledge in dynamic environments. This capability is essential for numerous vision tasks in robotics and drones, and the models must be deployed on the edge to achieve real-time performance. We propose a FPGA accelerat...
Main Authors: | , , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/178585 |