Hybrid YOLOv5s-faster R-CNN detector for complex road-scene object detection
Abstract Accurate and efficient object detection is critical for road-scene monitoring systems operating in visually complex and resource-constrained environments. One-stage detectors offer high inference speed but often exhibit imprecise localization for small or low-contrast hazards, whereas two-s...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer
2026-04-01
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| Reeks: | Discover Artificial Intelligence |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/s44163-026-01253-9 |
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