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DyGLW-Net: Dynamic Global-guided Local Window Network for Agricultural Image Segmentation

Yucong Wang; Guorun Li; Wang Liu; Liu Lei; Xiaoyu Li; Yuefeng Du*;

submitted to IPA in 2026

๐Ÿ  TODOs

  • DyGLW-Net model.

๐Ÿ  Overview

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Important Note (Training)

This repository mainly provides the model architecture code. For training, please follow the training pipeline from another repository under my GitHub account and reuse its data organization, configs/hyperparameters, training scripts, and logging setup.

  • Training repository: Simple-Attention
  • Recommended workflow: reuse the training pipeline from the repo above and plug this model module into its training entry.

If you encounter any integration issues (e.g., mismatched interfaces or configs), please open an issue with your environment details and error logs.

About

This project is a paper called "DyGLW-Net: Dynamic Global-guided Local Window Network for Agricultural Image Segmentation" submitted to IPA in 2026

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