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Found 13 papers, 3 papers with code
Towards Real-World Blind Face Restoration with Generative Facial Prior
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
Ranked #2 on
Blind Face Restoration
on CelebA-Test
Disentangled Makeup Transfer with Generative Adversarial Network
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.
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Codes are available at https://github. com/ToTheBeginning/GCP-Colorization.
Multi-Task Label Embedding for Text Classification
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains.
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains.
OMNIRank: Risk Quantification for P2P Platforms with Deep Learning
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.
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention
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.
MCapsNet: Capsule Network for Text with Multi-Task Learning
Multi-task learning has an ability to share the knowledge among related tasks and implicitly increase the training data.
Gated Multi-Task Network for Text Classification
This success can be largely attributed to the feature sharing by fusing some layers among tasks.
Learning What to Share: Leaky Multi-Task Network for Text Classification
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.
Dual Semantic Fusion Network for Video Object Detection
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution
As a consequence, the VFSR models trained on this dataset can not output visual-pleasing results.
BTS: A Bi-Lingual Benchmark for Text Segmentation in the Wild
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.
