One of scenarios in data-sharing applications is that files are managed ...
End-to-end region-based object detectors like Sparse R-CNN usually have
...
Classifier-free guidance is an effective sampling technique in diffusion...
The advent of open-source AI communities has produced a cornucopia of
po...
Without densely tiled anchor boxes or grid points in the image, sparse R...
In the semi-supervised learning field, Graph Convolution Network (GCN), ...
This paper describes the THUEE team's speech recognition system for the ...
The online recruitment matching system has been the core technology and
...
The intelligent question answering (IQA) system can accurately capture u...
Group sequential design (GSD) is widely used in clinical trials in which...
Discrete hidden Markov models (HMM) are often applied to malware detecti...
Biomarker subpopulations have become increasingly important for drug
dev...
How autonomous vehicles and human drivers share public transportation sy...
Automatically extracted metadata from scholarly documents in PDF formats...
Machine learning develops rapidly, which has made many theoretical
break...
In order to better model high-dimensional sequential data, we propose a
...
Due to the merit without requiring charging cable, wireless power transf...
In this paper, it is presented a methodology for implementing arbitraril...