Exploring Runtime Sparsification of YOLO Model Weights During Inference
In the pursuit of real-time object detection with constrained computational resources, the optimization of neural network architectures is paramount. We introduce novel sparsity induction methods within the YOLOv4-Tiny framework to significantly improve computational efficiency while maintaining hig...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2026-01-01
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| Reeks: | Journal of Low Power Electronics and Applications |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2079-9268/16/1/3 |
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