Mulham91 / Multi-Spectral-Image-Synthesis-for-Crop-Weed-Segmentation-in-Precision-FarmingView on GitHub
In this work, we propose an alternative solution with respect to the common data augmentation techniques, applying it to the fundamental problem of crop/weed segmentation in precision farming. Starting from real images, we create semi-artificial samples by replacing the most relevant object classes (i.e., crop and weeds) with synthesized counte…
☆18May 3, 2024Updated last year
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