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Complementarity-enhanced and redundancy-minimized collaboration network for multi-agent perception
Multi-agent collaborative perception depends on sharing sensory information to improve
perception accuracy and robustness, as well as to extend coverage. The cooperative shared …
perception accuracy and robustness, as well as to extend coverage. The cooperative shared …
Federated few-shot learning with adversarial learning
We are interested in develo** a unified machine learning framework for effectively training
machine learning models from many small data sources such as mobile devices. This is a …
machine learning models from many small data sources such as mobile devices. This is a …
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments
In the past decade, although single-robot perception has made significant advancements,
the exploration of multi-robot collaborative perception remains largely unexplored. This …
the exploration of multi-robot collaborative perception remains largely unexplored. This …
Few-shot multi-agent perception with ranking-based feature learning
In this article, we focus on performing few-shot learning (FSL) under multi-agent scenarios in
which participating agents only have scarce labeled data and need to collaborate to predict …
which participating agents only have scarce labeled data and need to collaborate to predict …