Self-supervised learning (SSL) has made remarkable progress in visual
re...
Many radar signal processing methodologies are being developed for criti...
In contrastive self-supervised learning, the common way to learn
discrim...
We present a strong object detector with encoder-decoder pretraining and...
Transfer learning has emerged as a powerful technique in many applicatio...
Few-shot segmentation (FSS) aims to segment novel categories given scarc...
It is common for people to engage in information acquisition tasks while...
Synthetic aperture radar (SAR) image change detection is a vital yet
cha...
In this paper, the content service provision of information-centric vehi...
Mobile edge caching can effectively reduce service delay but may introdu...
Mobile edge computing is beneficial to reduce service response time and ...
In this paper, we design dynamic probabilistic caching for the scenario ...
Vehicular networks are expected to support diverse content applications ...
Space information network (SIN) is an innovative networking architecture...
Drone base station (DBS) is a promising technique to extend wireless
con...
Space-air-ground integrated networks (SAGIN) provide great strengths in
...
Mobile edge caching enables content delivery within the radio access net...
As artificial intelligence is increasingly affecting all parts of societ...
In this paper, an Air-Ground Integrated VEhicular Network (AGIVEN)
archi...
Embedded with advanced sensors, cameras and processors, the emerging
aut...
With files proactively stored at base stations (BSs), mobile edge cachin...