What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception

1 code implementation • 15 Mar 2024 • Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou

The core philosophy of CMiMC is to preserve discriminative information of individual views in the collaborative view by maximizing mutual information between pre- and post-collaboration features while enhancing the efficacy of collaborative views by minimizing the loss function of downstream tasks.

Contrastive Learning Philosophy