FlowAdapt achieves state-of-the-art domain adaptation for V2X collaborative perception via optimal transport flow, using Wasserstein greedy sampling and progressive knowledge transfer with only 1% trainable parameters.
Dora: Weight-decomposed low-rank adaptation, 2024
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Move What Matters: Parameter-Efficient Domain Adaptation via Optimal Transport Flow for Collaborative Perception
FlowAdapt achieves state-of-the-art domain adaptation for V2X collaborative perception via optimal transport flow, using Wasserstein greedy sampling and progressive knowledge transfer with only 1% trainable parameters.