【小白筆記】RTINet:Joint Representation and Truncated Inference Learning forCorrelationFilterbasedTracking
文章目錄 這是ECCV18的一篇文章，悄悄更新一波國人的大作。 論文地址 該論文主要是將BACF網絡化，得到了top的性能，有不對的地方歡迎討論~ #1.主要貢獻 1.把BACF改造成了一個神經網絡結構，可以進行端到端的訓練； 2.求解BACF的核心ADMM優化部分作者用網絡的形式和截斷推理的方法表示了出來，作者詳細推導了梯度反傳的部分； 3.由於是CNN和BACF的結合，在性能上RTINet和E
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相關文章
- 1. Classification and inference with machine learning
- 2. 《Decoupling Representation and Classifier》筆記
- 3. embedding entities and relations for learning and inference knowledge base
- 4. 【論文筆記】Representation Learning by Learning to Count
- 5. Computer Vision Models, Learning, and Inference學習筆記（第一章）
- 6. Computer vision: models, learning and inference 學習筆記1：引言
- 7. 論文筆記 Joint Inference of Reward Machines and Policies for Reiforcement Learning
- 8. Machine Learning (3) Classification and Representation
- 9. Predictive learning vs. representation learning
- 10. 【小白筆記】Correlation Tracking via Joint Discrimination and Reliability Learning