Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments

arXiv:2404.17930v1 Announce Type: new
Abstract: In the era of the Internet of Things (IoT), objects connect through a dynamic network, empowered by technologies like 5G, enabling real-time data sharing. However, smart objects, notably autonomous vehicles, face challenges in critical local computations due to limited resources. Lightweight AI models offer a solution but struggle with diverse data distributions. To address this limitation, we propose a novel Multi-Stream Cellular Test-Time Adaptation (MSC-TTA) setup where models adapt on the fly to a dynamic …

abstract ai models arxiv autonomous autonomous vehicles cellular challenges cs.ai cs.cv data data sharing dynamic eess.iv enabling environments face however internet internet of things iot network objects real-time resources smart technologies test through time data type vehicles