Deep model fusion/merging is an emerging technique that merges the parameters or
predictions of multiple deep learning models into a single one. It combines the abilities of …

The digital retina in smart cities is to select what the City Eye tells the City Brain, and convert
the acquired visual data from front-end visual sensors to features in an intelligent sensing …

The digital retina excels at providing enhanced visual sensing and analysis capability for city
brain in smart cities, and can feasibly convert the visual data from visual sensors into …

The goal of model reuse is to build a model in a new target domain by reusing some pre-
trained source models. It can significantly reduce the training costs and the data required for …

In this competition we employed a model fusion approach to achieve object detection results
close to those of real images. Our method is based on the CO-DETR model, which was …

In the big data era, there has been an increasing consensus that the label information,
computational resources and communication bandwidth are particularly precious. State-of …