2024
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud–Based Robotic Ecosystems via Proposal Refinement
IROS 2024poster
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios where robots rely on third–party AI inference services powered by large pre– trained deep neural networks. Our method is based on a downstream proposal–refinement stage running locally on the robots, exploiting…