vsd-benchmark/vsd-fashion
Visual similarities discovery (VSD) is an important task with broad e-commerce applications. Given an image of a certain object, the goal of VSD is to retrieve images of different objects with high perceptual visual similarity. Al- though being a highly addressed problem, the evaluation of proposed methods for VSD is often based on a proxy of an identification-retrieval task, evaluating the ability of a model to retrieve different images of the same object. We posit that evaluating VSD methods based on identification tasks is limited, and faithful evaluation must rely on expert annotations. In
| Author / organization | vsd-benchmark |
|---|---|
| License (as declared) | mit |
| Downloads | 247 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 8 August 2023 |
| Last updated at source | 23 November 2024 |
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