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cs.CV2019

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation

Jaehoon Choi, Minki Jeong, Taekyung Kim +1

The paper introduces a curriculum that orders pseudo‑labeled target samples by density, training first on high‑density (more reliable) samples and later on low‑density ones, with a…

#unsupervised domain adaptation#pseudo-labeling#curriculum learning#density-based clustering