Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification閱讀
在差異空間進行無監督域適應的行人再識別技術 文章出處：ECCV2020。 Code is available on GitHub link: https://github.com/djidje/D-MMD 摘要：隨着深度模型的發展，ReID技術的性能得到大幅提升，然而面臨現實世界的視頻分析和監控應用，ReID技術的落地依然有着較大的挑戰。考慮到源於和目標域上普遍存在的數據分佈的差異，而且源域數據有
相關文章
- 1. Image-Image Domain Adaptation with Preserved Self-Similarity andDomain-Dissimilarity for Person Re-i
- 2. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 3. [cvpr2017]Learning an Invariant Hilbert Space for Domain Adaptation
- 4. Geodesic flow kernel for unsupervised domain adaptation
- 5. [論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 6. 【論文閱讀】Universal Domain Adaptation
- 7. Re-weighted adversarial adaptation network for unsupervised domain adaptation
- 8. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 9. 《A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification》論文筆記
- 10. 【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • Swift for-in 循環 - Swift 教程
- • JDK13 GA發佈：5大特性解讀
- • Java 8 Stream 教程
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Image-Image Domain Adaptation with Preserved Self-Similarity andDomain-Dissimilarity for Person Re-i
- 2. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 3. [cvpr2017]Learning an Invariant Hilbert Space for Domain Adaptation
- 4. Geodesic flow kernel for unsupervised domain adaptation
- 5. [論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 6. 【論文閱讀】Universal Domain Adaptation
- 7. Re-weighted adversarial adaptation network for unsupervised domain adaptation
- 8. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 9. 《A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification》論文筆記
- 10. 【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift