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August 1, 2025Journal of Physics Conference SeriesOpen Access

AK-YOLOv9: Improved Object Detection for Pollutants in Rivers Discharging into the Sea

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Authors

LWLili WenMWMan WuJLJunxiang Lai

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Overview

Model improves accuracy and recall of pollutant detection in riverine discharges, suggesting its potential in environmental monitoring.

Key Points

  • The improved model achieved a 2.7% increase in accuracy, enhancing detection performance for pollutants in rivers.
  • Key enhancements include irregular convolution kernels and a lightweight self-attention mechanism for better feature extraction.
  • Ablation study demonstrated a 2.1% improvement in recall rate, showcasing the model's reliability for monitoring applications.
  • The findings highlight significant potential for environmental monitoring of pollutants entering marine ecosystems.

Cite This Study

Wen et al. (2025) studied this question.

synapsesocial.com/papers/68af494dad7bf08b1ead4c9chttps://doi.org/10.1088/1742-6596/3083/1/012003
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