Семантическая сегментация как частный случай задачи классификации в машинном обучении. Объяснение теории представлено в плане развития архитектур от простых полносвязных сетей и глубоких сверточных сетей до сетей для решения задач семантической классификации, в том числе FCN, UNet.
Ссылка на более подробную лекцию от Семена Козлова и Ко:
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