Publications
Showing 34 results for Author: Benjamin T. Swan
Mar, 2026
Conference Paper
How Good is Good Enough?: Quantifying the Effects of Training Set Quality
There is a general consensus in the neural network community that noise in training data has a negative impact on model output; however, efforts to quantify the impact of varying levels have been limited, particularly for semantic segmentation tasks. This is a question of particular importance for remote sensing applications where the cost of producing a large training set…