Modern deep neural networks have demonstrated remarkable performance across various visual recognition tasks, including image classification and semantic segmentation. The effectiveness of these networks largely relies on having abundant labeled examples for each desired category. Acquiring such datasets, however, poses particular challenges in the context of semantic segmentation, where a label is required for each […]
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