Publication / RESOURCE PROFILE

CVPR 2020

Publication: Central Similarity Quantization for Efficient Image and Video Retrieval. Published 2020.

openaccess.thecvf.comPublished 2020
Visit source website ↗

Overview

Publication: Central Similarity Quantization for Efficient Image and Video Retrieval. Published 2020.

Publication information

Publication title
Central Similarity Quantization for Efficient Image and Video Retrieval
Authors
Yuan, Li, Wang, Tao, Zhang, Xiaopeng, Tay, Francis EH, Jie, Zequn, Liu, Wei, Feng, Jiashi
Published
2020
Venue / journal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Publication source
openaccess.thecvf.com · content_CVPR_2020/html/Yuan_Central_Similarity_Quantization_for_Efficient_Image_and_Video_Retrieval_CVPR_2020_paper.html ↗
PDF
Read the publisher PDF ↗

Source: Publisher citation HTML metadata · observed Oct 11, 2026.

Publisher page information

Source page title
CVPR 2020 Open Access Repository
Observed source URL
https://openaccess.thecvf.com/content_CVPR_2020/html/Yuan_Central_Similarity_Quantization_for_Efficient_Image_and_Video_Retrieval_CVPR_2020_paper.html ↗
Publisher canonical URL
https://openaccess.thecvf.com/content_CVPR_2020/html/Yuan_Central_Similarity_Quantization_for_Efficient_Image_and_Video_Retrieval_CVPR_2020_paper.html ↗
Source metadata observed
Oct 11, 2026

Recorded from the source page’s published HTML metadata. Publisher page language can differ from this directory’s English interface.

Source links & provenance

https://openaccess.thecvf.com/content_CVPR_2020/html/Yuan_Central_Similarity_Quantization_for_Efficient_Image_and_Video_Retrieval_CVPR_2020_paper.html ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
RepositoryChecked capture

DeepIntoStreams/TSFM_Finance

github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
96 Authority 96 / 100 Cited by 2 resources in this directory 2 discovery sources Directory record updated: 2026-10-11 How scoring works →

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.