83 citations · 105 across the 4 of their papers we have counts for
3 papers · 1 filter
Resource-efficient domain adaptive pre-training for medical images
Yasar Mehmood, Usama Ijaz Bajwa, Xianfang Sun
The deep learning-based analysis of medical images suffers from data scarcity because of high annotation costs and privacy concerns. Researchers in this domain have used transfer l…
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
Yitong Yan, Chuangchuang Liu, Changyou Chen +3
The traditional super-resolution methods that aim to minimize the mean square error usually produce the images with over-smoothed and blurry edges, due to the lose of high-frequenc…
Deformable Non-local Network for Video Super-Resolution
Hua Wang, Dewei Su, Chuangchuang Liu +3
The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by using its corresponding low-resolution (LR) frame and multiple neighboring frames. At pr…