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Improving U-Net Model Robustness for Agricultural Field Segmentation

The author's U-Net model with an attention mechanism, trained on the AI4Boundaries dataset, shows significantly reduced performance when applied to raw Sentinel-2 data. The model struggles with noise, cloud interference, and varying sun and viewing angles not present in the training set. The author seeks advice on enhancing the model's robustness for real-world conditions.

Computing & Technology, Computer Science, Machine Learning