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20232026
most citedWhat Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding

1 citations · 2 across the 7 of their papers we have counts for

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cs.CV2026

Visual prompting reimagined: The power of the Activation Prompts

Yihua Zhang, Hongkang Li, Yuguang Yao +5

Visual prompting (VP) has emerged as a popular method to repurpose pretrained vision models for adaptation to downstream tasks. Unlike conventional model fine-tuning techniques, VP…

cs.CV2023

AutoVP: An Automated Visual Prompting Framework and Benchmark

Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen +2

Visual prompting (VP) is an emerging parameter-efficient fine-tuning approach to adapting pre-trained vision models to solve various downstream image-classification tasks. However,…