kevinlin311tw/Caffe-DeepBinaryCode
Supervised Semantics-preserving Deep Hashing (TPAMI18)
This project helps image catalog managers quickly find similar images within large collections. It takes a collection of labeled images and processes them to generate efficient 'binary codes.' These codes allow for much faster searching, letting the user input an image and rapidly retrieve other visually and semantically similar images from their dataset. It's designed for anyone managing vast image libraries, such as in e-commerce, digital asset management, or visual content archives.
202 stars. No commits in the last 6 months.
Use this if you need to perform extremely fast, accurate searches for similar images within a very large, pre-categorized image database.
Not ideal if your image collections are small, lack clear semantic labels, or if you require advanced object detection or image generation features.
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202
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81
Language
C++
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Last pushed
Feb 20, 2017
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