A technique used to apply knowledge learned from one task or domain to another, often used in object recognition to pretrain models on large datasets before fine-tuning on smaller, more specialized datasets.
A technique used to apply knowledge learned from one task or domain to another, often used in object recognition to pretrain models on large datasets before fine-tuning on smaller, more specialized datasets.