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Found 2 papers, 2 papers with code
Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements
This is particularly relevant in search and retrieval systems where it is crucial to avoid reprocessing of the gallery images with the updated model.
Learning advisor networks for noisy image classification
In this paper, we introduced the novel concept of advisor network to address the problem of noisy labels in image classification.
Ranked #6 on
Image Classification
on Clothing1M
(using extra training data)
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