Retrieval model training method and device, retrieval method and device, electronic equipment and storage medium
A model training and three-dimensional model technology, applied in neural learning methods, biological neural network models, digital data information retrieval, etc., can solve the problems of category information interference color and shape features, difficult sample mining, coupling, etc., to reduce interference , Improve the convergence speed and improve the accuracy
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[0066] In order to make the above-mentioned features and effects of the present invention more clear and understandable, the following specific examples are given together with the accompanying drawings for detailed description as follows.
[0067] In view of the various limitations of existing methods, the present invention intends to improve the entire retrieval algorithm from the perspectives of supervision items and data enhancement. In the present invention, one focus is to construct a double-contrastive loss function between instances and categories to replace the triplet loss. As a popular research direction in recent years, contrastive learning uses contrastive loss, so that different data enhancements of the same sample have similar codes, and different samples have different codes, which has made great progress in unsupervised representation learning. success. Specifically in this work, the mechanism of contrastive learning coincides with the method of metric learni...
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