Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
FlowGDA is proposed, a flow-matching framework that models gradual adaptation as continuous transport on a statistical manifold in a representation space and outperforms state-of-the-art techniques, validating flow matching as an effective alternative for domain adaptation.
Yu-Bo Huang, Yu-She Cao, Zi-Xi Wang et al.
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