Multi-attention based cross-domain beauty product image retrieval
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s11432-019-2721-0.pdf
Reference9 articles.
1. Cheng W-H, Jia J, Huang J. Half Million Beauty Product Image Recognition. 2018. https://challenge2018.perfectcorp.com/
2. Lin Z, Yang Z, Huang F, et al. Regional maximum activations of convolutions with attention for cross-domain beauty and personal care product retrieval. In: Proceedings of ACM Conference on Multimedia, 2018. 2073–2077
3. Wang Q, Lai J X, Xu K, et al. Beauty product image retrieval based on multi-feature fusion and feature aggregation. In: Proceedings of ACM Conference on Multimedia, 2018. 2063–2067
4. Lim J H, Japar N, Ng C C, et al. Unprecedented usage of pre-trained CNNs on beauty product. In: Proceedings of ACM Conference on Multimedia, 2018. 2068–2072
5. Sun H Q, Pang Y W. GlanceNets-efficient convolutional neural networks with adaptive hard example mining. Sci China Inf Sci, 2018, 61: 109101
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