7 citations · 7 across the 2 of their papers we have counts for
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cs.CV2022
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez +6
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are s…
cs.CV2021★ 7 cited
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
Song Tang, Yan Yang, Zhiyuan Ma +5
In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some re…