Domain Adaptive Neural Networks for Object Recognition
本篇是遷移學習專欄介紹的第五篇論文，PRICAI 2014的DaNN（Domain Adaptive Neural Network）。 Abstract 提出了一種簡單的神經網絡模型來處理目標識別中的Domain Adaptive問題。我們的模型將Maximum Mean Discrepancy(MMD)作爲正則化方法引入監督學習中，以減少潛在空間中源域和目標域的分佈不匹配。從實驗中，我們證明MM
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相關文章
- 1. CS231n Convolutional Neural Networks for Visual Recognition
- 2. Convolutional Neural Networks for Speech Recognition///2014
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- 5. Exploring Categorical Regularization for Domain Adaptive Object Detection
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- 7. Adaptive Graph Convolutional Neural Networks
- 8. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 9. 【One Shot】《Siamese Neural Networks for One-shot Image Recognition》
- 10. Domain Adaptation for Object Recognition: An Unsupervised Approach