Developing monolingual large Pre-trained Language Models (PLMs) is shown...
While non-volatile memories (NVMs) provide several desirable characteris...
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceiv...
Causal chain reasoning (CCR) is an essential ability for many decision-m...
Surgical activity recognition and prediction can help provide important
...
Deep learning is a powerful tool for whole slide image (WSI) analysis.
T...
Recent years have witnessed the improving performance of Chinese Named E...
The attention mechanism is widely used in deep learning because of its
e...
In this work, we present a new method for 3D face reconstruction from
mu...
Developing deep neural networks to generate 3D scenes is a fundamental
p...
In this paper, we rethink how a DNN encodes visual concepts of different...
Crime prevention strategies based on early intervention depend on accura...
The Flatland competition aimed at finding novel approaches to solve the
...
A new label smoothing method that makes use of prior knowledge of a lang...
We introduce a new framework for text detection named SA-Text meaning "S...
Monitoring population-level changes in diet could be useful for educatio...
State-of-the-art text spotting systems typically aim to detect isolated ...
Cartoons receive increasingly attention and have a huge global market.
C...
Street architectures play an essential role in city image and streetscap...
Person identification in the wild is very challenging due to great varia...
Graph embedding has been proven to be efficient and effective in facilit...
In this paper we develop a new framework that captures the common landsc...