Natural language understanding (NLU) is integral to various social media...
In this paper, we consider two versions of the Text Assembling problem. ...
Word embedding has become ubiquitous and is widely used in various text
...
Speech representation learning has improved both speech understanding an...
Interactive image segmentation aims at segmenting a target region throug...
In recent years, the rapid development of deep learning has brought grea...
High resolution and advanced semantic representation are both vital for ...
While fine-tuning pre-trained networks has become a popular way to train...
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at
fac...
Relational graph neural networks have garnered particular attention to e...
Natural image matting is a fundamental and challenging computer vision t...
Real-world applications have high demands for semantic segmentation meth...
As the COVID-19 pandemic rampages across the world, the demands of video...
High-quality training data play a key role in image segmentation tasks.
...
WikiKG90M in KDD Cup 2021 is a large encyclopedic knowledge graph, which...
Fatigue detection is valued for people to keep mental health and prevent...
Image Segmentation plays an essential role in computer vision and image
...
Arbitrary image style transfer is a challenging task which aims to styli...
Federated machine learning systems have been widely used to facilitate t...
Person re-identification (re-id) suffers from a serious occlusion proble...
Familia is an open-source toolkit for pragmatic topic modeling in indust...
Instance segmentation has attracted recent attention in computer vision ...