SA$^2$VP: Spatially Aligned-and-Adapted Visual Prompt

1 code implementation • 16 Dec 2023 • Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu

Typical methods for visual prompt tuning follow the sequential modeling paradigm stemming from NLP, which represents an input image as a flattened sequence of token embeddings and then learns a set of unordered parameterized tokens prefixed to the sequence representation as the visual prompts for task adaptation of large vision models.

Image Classification Visual Prompt Tuning