Hierarchical Prompt Learning for Multi-Task Learning-Reference-Cited by-同舟云学术

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Hierarchical Prompt Learning for Multi-Task Learning

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Liu Yajing¹,Lu Yuning²,Liu Hao¹,An Yaozu¹,Xu Zhuoran¹,Yao Zhuokun¹,Zhang Baofeng¹,Xiong Zhiwei²,Gui Chenguang¹

Affiliation:

1. JD Logistics

2. University of Science and Technology of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204197.pdf?arnumber=10204197

Reference81 articles.

1. Promptdet: Towards open-vocabulary detection using uncurated images;feng;ECCV,2022

2. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

3. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories;li;CVIU,2007

4. Variational multi-task learning with gumbel-softmax priors;shen;NeurIPS,2021

5. Loss surfaces, mode connectivity, and fast ensembling of dnns;garipov;NeurIPS,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adapting differential molecular representation with hierarchical prompts for multi-label property prediction;Briefings in Bioinformatics;2024-07-25

2. Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis;IEEE Transactions on Medical Imaging;2024-05

3. Prompt learning in computer vision: a survey;Frontiers of Information Technology & Electronic Engineering;2024-01

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