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Two more papers on vision-language
Hi,
Requesting to include the two papers that were recently accepted for CVPR 2023 on vision-language.
-
Fine-tuned CLIP models are efficient video learners
This work explores the capability of a simple baseline called ViFi-CLIP (Video Fine-tuned CLIP) for adapting image pretrained CLIP to video domain tasks.
Code: https://tinyurl.com/5xwv9uej
Paper: https://arxiv.org/abs/2212.03640 -
MaPLe: Multi-modal Prompt Learning
This paper learns prompts on both the language and vision branches of CLIP for better generalization to downstream tasks.
Code: https://rb.gy/woe48
Paper: https://arxiv.org/abs/2210.03117
It would be greatly appreciated if they could be included in the repository. Thank you for your time and assistance, and I must say, this is a great repository!
文章补全
请问可否参照 https://cvpr.thecvf.com/Conferences/2023/AcceptedPapers 的paperlist完善仓库,虽说有些paper没有公开论文。
谢谢 😃
Update code link for one paper
Hi!
Here I wanna share the code link for Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
:
https://github.com/ykdai/BracketFlare
Thank you!
How did you do this classification?
Hi, I always wanted to automatically do this kind of classification with recently published papers. How did you do this? Do you have a classification model with already defined classes? Or is it a clustering solution that finds clusters and consequently new words/groups?
could you please add our paper to re-ID area?
Paper name/title: Large-scale Training Data Search for Object Re-identification
Paper link: https://arxiv.org/abs/2303.16186
Code link: https://github.com/yorkeyao/SnP
Many thanks!
可以根据workshop 来分类论文 会不会好一点
Please update the information of our CVPR 2023 paper
Hi,
Could you please update the information of our CVPR 2023 paper on the list:
Title: A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Paper link: https://arxiv.org/pdf/2302.14434.pdf
Project Link: https://younglbw.github.io/HRN-homepage/
Thanks a lot!
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