Luxury Goods Identification based on Multi-Head Convolutional Neural Network with Attractor Loss
Author:
Affiliation:
1. Tongji University,The Department of Control Science and Engineering,Shanghai,China
2. Beijing Teleinfo Technology Co., Ltd., CAICT,iF-Labs,Beijing,China
3. China Academy of Information and Communications Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450666.pdf?arnumber=10450666
Reference28 articles.
1. The Fake vs Real Goods Problem
2. Trends in Trade in Counterfeit and Pirated Goods;OECD Publishing, Paris/European Union Intellectyal Property Office,2019
3. A Performance Evaluation of Exact and Approximate Match Kernels for Object Recognition
4. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
5. Distinctive Image Features from Scale-Invariant Keypoints
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