dongkyunk/DOLG-pytorch

Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

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Emerging

This helps with finding specific instances of objects or landmarks within large collections of images. You provide a database of images, and it can efficiently find all images that contain a visually similar item to a query image. This is ideal for anyone managing vast image libraries, such as curators, archivists, or e-commerce platform managers.

135 stars. No commits in the last 6 months.

Use this if you need to quickly locate identical or near-identical objects, buildings, or natural landmarks across millions of images.

Not ideal if you're looking for images based on general categories (e.g., 'all pictures of dogs') rather than specific instances (e.g., 'all pictures of *this specific dog*').

image-retrieval digital-asset-management visual-search content-moderation e-commerce-cataloging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

135

Forks

16

Language

Python

License

MIT

Last pushed

Dec 21, 2021

Commits (30d)

0

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