Table · dataset · 2026
<p>Experimental design of the ablation study. The three segmentation architectures and four training strategy axes are summarised. For each axis, one hyperparameter family is varied while all others remain at the reference configuration (grey rows). Fixed shared parameters: patch size px, batch size 8, learning rate 10<sup>−4</sup>, maximum 75 training epochs with early-stopping patience of 20 epochs. All configurations were evaluated by 5-fold cross-validation on 810 patches (CIR + DSM, 4 channels, 20 cm GSD), yielding training runs.</p>
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<p>Experimental design of the ablation study.
Description
The three segmentation architectures and four training strategy axes are summarised. For each axis, one hyperparameter family is varied while all others remain at the reference configuration (grey rows).
Fixed shared parameters: patch size px, batch size 8, learning rate 10<sup>−4</sup>, maximum 75 training epochs with early-stopping patience of 20 epochs. All configurations were evaluated by 5-fold cross-validation on 810 patches (CIR + DSM, 4 channels, 20 cm GSD), yielding training runs.</p>
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