Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images
Learning the Latent "Look": Unsupervised Discovery of a Style-Coherent Embedding from Fashion Images We propose an unsupervised approach to learn a style-coherent representation. Our method leverages probabilistic polylingual topic models based on visual attributes to discover a set of latent style factors. Given a collection of unlabeled fashion images, our approach mines for the latent styles, t
Fashion Style in 128 Floats: Joint Ranking and Classification using Weak Data for Feature Extraction
Introducing Style Detection for Google Cloud Vision API | Google Cloud Blog
Miles WardDirector of Solution Architecture, Google Cloud Editor's Note: (updated August 30, 2021) this blog post is part of a tradition of April Fools' Day jokes by Google. Style Detection is not a real product and we'd like to apologize to anyone that found this misleading. We have since introduced a (real) Vision API for Product Search, designed for visual matching. We hope you check it out! At
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images. We would like to answer questions like `What outfit goes well with this pair of shoes?' To answer these types of questions, one has to go beyond learning visual similarity and learn a visual notion of compatibility across categories. In th
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Introducing Style Detection for Google Cloud Vision API
The Elements of Fashion Style
https://dl.acm.org/citation.cfm?id=2984573
Shintami
https://sergeykarayev.com/files/1311.3715v3.pdf
[1608.03914] When was that made?
https://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf
