【論文學習】Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character

時間 2020-12-30

標籤 OCR ICDAR center loss 手寫漢字識別简体版

原文原文鏈接

Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition Abstract Introduction Proposed Network Experiments Datasets Pre-processing and experiments set

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1. MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
2. OHW系列之一《Stroke Sequence-Dependent DCNN for Online Handwritten Chinese Character Recognition 》
3. 【論文】Triplet-Center Loss for Multi-View 3D Object
4. Ranked List Loss for Deep Metric Learning
5. center loss 論文學習
6. 【主動學習論文】Learning Loss for Active Learning, CVPR 2019
7. Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression 論文
8. 論文閱讀筆記《Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace》
9. 001: MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
10. A Combination of RNN and CNN for Attention-based Relation Classification論文閱讀筆記
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1. MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
2. OHW系列之一《Stroke Sequence-Dependent DCNN for Online Handwritten Chinese Character Recognition 》
3. 【論文】Triplet-Center Loss for Multi-View 3D Object
4. Ranked List Loss for Deep Metric Learning
5. center loss 論文學習
6. 【主動學習論文】Learning Loss for Active Learning, CVPR 2019
7. Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression 論文
8. 論文閱讀筆記《Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace》
9. 001: MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
10. A Combination of RNN and CNN for Attention-based Relation Classification論文閱讀筆記

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