In-Shop

Emerging

4papers using it

2017first seen

The 'In-shop' dataset is a benchmark used to evaluate retrieval performance in distance metric learning, containing labeled data for assessing the effectiveness of models in identifying similar items within a shopping context.

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Papers using In-Shop (2)

Unsupervised Triplet Hashing for Fast Image Retrieval2017 · 60 cites

Deep Hashing with Triplet Quantization Loss2017 · 1 cites