Nov 21, 2022 · In this paper, we propose multitask vision-language prompt tuning (MVLPT), which incorporates cross-task knowledge into prompt tuning for vision ...
[PDF] Multitask Vision-Language Prompt Tuning - CVF Open Access
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We benchmark the proposed. MVLPT using three representative prompt tuning methods, namely text prompt tuning, visual prompt tuning, and the unified vision- ...
This repo contains the codebase of a series of research projects focused on adapting vision-language models like CLIP to downstream datasets via multitask ...
Appendix. 1.1. Additional Results. Ablation on UPT As mentioned in the main text, due to the recency, [2] does not release their model details or.
We benchmark the proposed. MVLPT using three representative prompt tuning methods, namely text prompt tuning, visual prompt tuning, and the unified vision- ...
Nov 21, 2022 · In this paper, we propose multitask vision-language prompt tuning (MVLPT), which incorporates cross-task knowledge into prompt tuning for vision ...
Aug 2, 2024 · Extensive experiments across four multi-task few-shot datasets covering 44 tasks and 1593 categories demonstrate that SoftCPT significantly ...
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In this paper, we propose multitask vision-language prompt tuning (MVLPT), which incorporates cross-task knowledge into prompt tuning for vision-language models ...
Feb 1, 2023 · We propose multitask prompt tuning (MPT), which first learns a single transferable prompt by distilling knowledge from multiple task-specific ...
Apr 25, 2024 · This involves adding a learnable modification to images to guide models towards specific predictions [45,11,1, 31, 8]. These prompt-tuning ...