Freezing the pre-trained backbone has become a standard paradigm to avoi...
Large neural networks are difficult to deploy on mobile devices because ...
Super-resolution as an ill-posed problem has many high-resolution candid...
Federated learning frameworks typically require collaborators to share t...
Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W...
Acceleration of deep neural networks to meet a specific latency constrai...
Convolutional neural networks are able to learn realistic image priors f...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
Many successful learning targets such as dice loss and cross-entropy los...
The newly proposed panoptic segmentation task, which aims to encompass t...
Object detection has made impressive progress in recent years with the h...
Long-range dependencies modeling, widely used in capturing spatiotempora...
Mobile-edge computation offloading (MECO) has been recognized as a promi...