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10/05/2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Strong image search models can be learned for a specific domain, ie. set...
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10/18/2021
TLDR: Twin Learning for Dimensionality Reduction
Dimensionality reduction methods are unsupervised approaches which learn...
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06/18/2019
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Image retrieval can be formulated as a ranking problem where the goal is...
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01/16/2018
Re-ID done right: towards good practices for person re-identification
Training a deep architecture using a ranking loss has become standard fo...
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10/25/2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
While deep learning has become a key ingredient in the top performing me...
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04/05/2016
Deep Image Retrieval: Learning global representations for image search
We propose a novel approach for instance-level image retrieval. It produ...
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03/03/2016