Combating Representation Learning Disparity with Geometric Harmonization
The paper presents a novel method called Geometric Harmonization (GH) to address the issue of representation learning disparity in self-supervised learning (SSL), particularly under long-tailed distribution scenarios. Traditional SSL methods…
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