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Found 2 papers, 1 papers with code
Source-Guided Similarity Preservation for Online Person Re-Identification
Our framework is based on the extraction of a support set composed of source images that maximizes the similarity with the target data.
Online unsupervised domain adaptation
Person Re-Identification
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
In this paper, we propose a Neural Architecture Search strategy based on self supervision and semi-supervised learning for the task of semantic segmentation.
