MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching 摘要：由于在学习特征表示和学习特征比较函数的成功，我们提出了一种统一的方法来结合训练块匹配系统。我们的系统成为MatchNet，由深度卷积网络组成从块来提取特征，和三个全连接层的网络来计算提取特征的相似性。为了确保实验可重复性，我们在标准数据集
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相关文章
- 1. 001: MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
- 2. 《Learning Semantic Concepts and Order for Image and Sentence Matching》
- 3. Unifying Task-oriented Knowledge Graph Learning and Recommendation
- 4. DIVERSITY REGULARIZED METRIC LEARNING FOR PERSON RE-IDENTIFICATION（ICIP2016）
- 5. Similarity Metric Learning for Face Recognition2013
- 6. Ranked List Loss for Deep Metric Learning
- 7. 2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
- 8. Matching Networks for one Shot Learning 阅读笔记
- 9. Survey and experimental study on metric learning methods
- 10. Learning Semantic Concepts and Order for Image and Sentence Matching笔记