As a consequence, the VFSR models trained on this dataset can not output visual-pleasing results.
Current researches mainly focus on only English characters and digits, while few work studies Chinese characters due to the lack of public large-scale and high-quality Chinese datasets, which limits the practical application scenarios of text segmentation.
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
Ranked #1 on Blind Face Restoration on CelebA-Test
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.
Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face.
Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain information.
Multi-task learning has an ability to share the knowledge among related tasks and implicitly increase the training data.
Neural network based multi-task learning has achieved great success on many NLP problems, which focuses on sharing knowledge among tasks by linking some layers to enhance the performance.
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains.
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains.
P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications.