Deep Metric Learning for Cross-Domain Fashion Instance Retrieval
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| Publication date | 2019 |
| Book title | 2019 International Conference on Computer Vision, Workshops |
| Book subtitle | proceedings : 27 October-2 November 2019, Seoul, Korea |
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| Event | 2019 IEEE/CVF International Conference on Computer Vision Workshops |
| Pages (from-to) | 3165-3168 |
| Publisher | Los Alamitos, California: IEEE Computer Society |
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| Abstract | The goal of this paper is to find an effective method to retrieve an image with a fashion instance from one domain based on a similar fashion instance image from a different domain. Where existing works focus on retrieving relevant shop images based on a consumer instance, we introduce the reverse task and treat both tasks equally in our training setup. We use several deep metric learning techniques to get baseline scores for these tasks on the DeepFashion2 dataset and we show how ensemble methods can be used to boost the performance. |
| Document type | Conference contribution |
| Note | CVFAD 2019 Workshop |
| Language | English |
| Published at | https://doi.org/10.1109/ICCVW.2019.00390 |
| Other links | http://www.proceedings.com/52964.html |
| Downloads |
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