Jaekyun Park

VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion

In the era of large-scale foundation models, fully fine-tuning pretrained networks for each downstream task is often prohibitively resource-intensive. Prompt tuning offers a lightweight alternative by introducing tunable prompts while keeping the backbone frozen. However, existing visual prompt tuni…