kamwoh/orthohash

[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

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Emerging

This project helps machine learning engineers and researchers simplify the training of deep hashing models for efficient image retrieval. It takes in raw image datasets, trains a model with a single, streamlined objective, and outputs compact binary codes (hashes) for each image. These hashes enable quick searching and matching of similar images, making large-scale image databases more manageable.

Use this if you need to perform fast and accurate image retrieval from large datasets by converting high-dimensional image data into compact binary codes.

Not ideal if your primary goal is general image classification or object detection, as this is specialized for deep hashing and retrieval.

image-retrieval deep-hashing machine-learning-research large-scale-image-search
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

98

Forks

8

Language

Python

License

BSD-3-Clause

Last pushed

Feb 27, 2026

Commits (30d)

0

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