"When Source-Free Domain Adaptation Meets Label Propagation. (arXiv:2301.08413v1 [cs.CV])" — An approach that tries to achieve efficient feature clustering from the perspective of label propagation by dividing the target data into inner and outlier samples based on the adaptive threshold of the learning state, and applying a customized learning strategy to best fits the data property.

Paper: http://arxiv.org/abs/2301.08413

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A toy illustration of target fe…