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Finding Visual Task Vectors
April 9, 2024, 4:48 a.m. | Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar
cs.CV updates on arXiv.org arxiv.org
Abstract: Visual Prompting is a technique for teaching models to perform a visual task via in-context examples, without any additional training. In this work, we analyze the activations of MAE-VQGAN, a recent Visual Prompting model, and find task vectors, activations that encode task-specific information. Equipped with this insight, we demonstrate that it is possible to identify the task vectors and use them to guide the network towards performing different tasks without providing any input-output examples. To …
abstract analyze arxiv context cs.cv encode examples information insight prompting teaching training type vectors via visual visual prompting work
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