CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding-Reference-Cited by-同舟云学术

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CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding

Published:2023 Issue: Volume: Page:1-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Xiao Linhui¹^ORCID,Yang Xiaoshan¹,Peng Fang¹,Yan Ming²^ORCID,Wang Yaowei³^ORCID,Xu Changsheng¹^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

2. DAMO Academy, Alibaba Group, Hangzhou, China

3. Peng Cheng Laboratory (PCL), Shenzhen, China

Funder

National Natural Science Foundation of China

Peng Cheng Laboratory Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/10269126.pdf?arnumber=10269126

Cited by 1 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. PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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