From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks
arXiv:2604.06748v1 Announce Type: new
Abstract: Visual in-context learning models are designed to adapt to new tasks by leveraging a set of example input-output pairs, enabling rapid generalization without task-specific fine-tuning. However, these mod…