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High-dimensional visual similarity search: k-d Generalized Randomized Forests.

, , and . CGI (Short Papers), page 25-28. ACM, (2016)

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Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images., , , , and . CoRR, (2019)Improving Local Features by Dithering-Based Image Sampling., , , and . ACCV (2), volume 9004 of Lecture Notes in Computer Science, page 601-613. Springer, (2014)Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels., , , , and . ECCV (10), volume 12355 of Lecture Notes in Computer Science, page 286-302. Springer, (2020)K-Space at TRECVID 2007., , , , , , , , , and 25 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2007)Dense Classification and Implanting for Few-Shot Learning., , , and . CVPR, page 9258-9267. Computer Vision Foundation / IEEE, (2019)Fast Spectral Ranking for Similarity Search., , , , and . CVPR, page 7632-7641. Computer Vision Foundation / IEEE Computer Society, (2018)Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking., , , , and . CVPR, page 5706-5715. Computer Vision Foundation / IEEE Computer Society, (2018)Mining on Manifolds: Metric Learning Without Labels., , , and . CVPR, page 7642-7651. Computer Vision Foundation / IEEE Computer Society, (2018)Asymmetric Metric Learning for Knowledge Transfer., and . CVPR, page 8228-8238. Computer Vision Foundation / IEEE, (2021)Planar shape decomposition made simple., and . BMVC, page 13.1-13.12. BMVA Press, (2015)