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https://github.com/LukasHedegaard/dage
Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
https://github.com/LukasHedegaard/dage
deep-learning domain-adaptation graph-embedding paper tensorflow transfer-learning
Last synced: about 2 months ago
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Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
- Host: GitHub
- URL: https://github.com/LukasHedegaard/dage
- Owner: LukasHedegaard
- Created: 2019-09-26T10:21:05.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-03-25T01:04:38.000Z (over 1 year ago)
- Last Synced: 2024-04-23T11:17:23.908Z (5 months ago)
- Topics: deep-learning, domain-adaptation, graph-embedding, paper, tensorflow, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 203 MB
- Stars: 16
- Watchers: 5
- Forks: 8
- Open Issues: 1
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Metadata Files:
- Readme: README.md