Search Results for author:
Found 2 papers, 0 papers with code
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
This study explores the potential of physics-informed neural networks (PINNs) for the realization of digital twins (DT) from various perspectives.
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
In this paper, we present offline-to-online knowledge distillation (OOKD) for video instance segmentation (VIS), which transfers a wealth of video knowledge from an offline model to an online model for consistent prediction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
