Online unsupervised domain adaptation
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
saltoricristiano/gipso-sfouda
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Our experiments show the effectiveness of our segmentation approach on thousands of real-world point clouds.
ACDC: Online Unsupervised Cross-Domain Adaptation
We consider the problem of online unsupervised cross-domain adaptation, where two independent but related data streams with different feature spaces -- a fully labeled source stream and an unlabeled target stream -- are learned together.
Source-Guided Similarity Preservation for Online Person Re-Identification
ramimmhamza/s2p
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Our framework is based on the extraction of a support set composed of source images that maximizes the similarity with the target data.
