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How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception

NeurIPS 2023 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Collaborative multi-agent perception · 20 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add spatial query in message filtering (ablation)How2comm · DAIR-V2XAP@0.7: 46.33 -> 47.18Helped
add channel query in message filtering (ablation)How2comm · DAIR-V2XAP@0.7: 46.52 -> 47.18Helped
add mutual information supervision (ablation)How2comm · DAIR-V2XAP@0.7: 46.04 -> 47.18Helped
add scale matrix in delay compensation (ablation)How2comm · DAIR-V2XAP@0.7: 46.86 -> 47.18Helped
add self-supervised flow training (ablation)How2comm · DAIR-V2XAP@0.7: 45.77 -> 47.18Helped
add temporal cross-attention (ablation)How2comm · DAIR-V2XAP@0.7: 45.92 -> 47.18Helped
add exclusive spatial attention (ablation)How2comm · DAIR-V2XAP@0.7: 45.06 -> 47.18Helped
add common spatial attention (ablation)How2comm · DAIR-V2XAP@0.7: 46.63 -> 47.18Helped
use adaptive late fusion instead of pixel-wise addition (ablation)How2comm · DAIR-V2XAP@0.7: 46.77 -> 47.18Helped
decouple exclusive and common features (ablation)How2comm · DAIR-V2XAP@0.7: 45.36 -> 47.18Helped
keypoint number 9 vs 6 (ablation)How2comm · DAIR-V2XAP@0.7: 46.05 -> 47.18Helped
keypoint number 9 vs 12 (ablation)How2comm · DAIR-V2XAP@0.7: 46.57 -> 47.18Helped

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