25 citations · 36 across the 4 of their papers we have counts for
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cs.CV2022★ 2 cited
Pro-tuning: Unified Prompt Tuning for Vision Tasks
Xing Nie, Bolin Ni, Jianlong Chang +6
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging,…
cs.CV2022★ 9 cited
Prompt Tuning with Soft Context Sharing for Vision-Language Models
Kun Ding, Ying Wang, Pengzhang Liu +4
Vision-language models have recently shown great potential on many tasks in computer vision. Meanwhile, prior work demonstrates prompt tuning designed for vision-language models co…
cs.CV2014
Structured Sparse Method for Hyperspectral Unmixing
Feiyun Zhu, Ying Wang, Shiming Xiang +2
Hyperspectral Unmixing (HU) has received increasing attention in the past decades due to its ability of unveiling information latent in hyperspectral data. Unfortunately, most exis…