Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'
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Updated
Sep 7, 2025 - Python
Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'
Engineered GAF-Net, an enhanced YOLOv8-based model for multi-disease corn leaf detection, integrating GSConv and FASF modules to boost feature extraction and localization accuracy. Achieved efficient, real-time performance through optimized training and inference on annotated agricultural datasets.
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