ru
ru
Source
IWANN
DATE OF PUBLICATION
08/21/2021
Authors
Ilya Makarov Boris Tseytlin
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Hotel Recognition via Latent Image Embeddings

Deep metric learning, Image retrieval, Contrastive learning

Abstract

We approach the problem of hotel recognition with deep metric learning. We overview the existing approaches and propose a modification to Contrastive loss called Contrastive-Triplet loss. We construct a robust pipeline for benchmarking metric learning models and perform experiments on Hotels-50K and CUB200 datasets. Contrastive-Triplet loss is shown to achieve better retrieval on Hotels-50k.

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