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.
Parameter-efficient fine-tuning for pre-trained vision models: A survey and benchmark, 2025
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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.