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Achieve superior cooperative perception by adaptively compensating for temporal latency and noise, outperforming existing methods in complex traffic scenarios.
Diffusion models can significantly enhance the robustness of cooperative perception systems against real-world corruptions, achieving state-of-the-art performance by leveraging denoising properties.
Achieve state-of-the-art collaborative perception with WhisperNet, a receiver-centric framework that slashes communication costs to just 0.5% while improving AP@0.7 by 2.4%.
