Search Results for author:
Found 4 papers, 1 papers with code
Deep learning-based estimation of whole-body kinematics from multi-view images
It is necessary to analyze the whole-body kinematics (including joint locations and joint angles) to assess risks of fatal and musculoskeletal injuries in occupational tasks.
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
State-of-the-art Named Entity Recognition(NER) models rely heavily on large amountsof fully annotated training data.
An Alignment-Agnostic Model for Chinese Text Error Correction
Most existing models based on detect-correct framework can correct mistaken characters errors, but they cannot deal with missing or redundant characters.
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
