Learning Fashion Compatibility with Bidirectional LSTMs
Author:
Affiliation:
1. University of Maryland, College Park, MD, USA
2. Fudan University, Shanghai, China
Funder
NSFC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3123266.3123394
Reference32 articles.
1. J. Donahue L. A. Hendricks S. Guadarrama M. Rohrbach S. Venugopalan K. Saenko and T. Darrell. 2015. Long-term Recurrent Convolutional Networks for Visual Recognition and Description CVPR. J. Donahue L. A. Hendricks S. Guadarrama M. Rohrbach S. Venugopalan K. Saenko and T. Darrell. 2015. Long-term Recurrent Convolutional Networks for Visual Recognition and Description CVPR.
2. Supervised Sequence Labelling with Recurrent Neural Networks
3. M Hadi Kiapour Xufeng Han Svetlana Lazebnik Alexander C Berg and Tamara L Berg. 2015. Where to buy it: Matching street clothing photos in online shops ICCV. 10.1109/ICCV.2015.382 M Hadi Kiapour Xufeng Han Svetlana Lazebnik Alexander C Berg and Tamara L Berg. 2015. Where to buy it: Matching street clothing photos in online shops ICCV. 10.1109/ICCV.2015.382
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