deep-ranking
SathwikTejaswi
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
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18 data points · 2021-07-01 → 2026-04-01How do you feel about this project?
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Question copied to clipboardWhat is the SathwikTejaswi/deep-ranking GitHub project? Description: "Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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