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.
Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
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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.