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Found 6 papers, 4 papers with code
Exploring Feedback Generation in Automated Skeletal Movement Assessment: A Comprehensive Overview
The application of machine-learning solutions to movement assessment from skeleton videos has attracted significant research attention in recent years.
Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation
When a candidate architecture has properties that are similar to other known architectures, the prediction task is rather straightforward using off-the-shelf regression algorithms.
NAAP-440 Dataset and Baseline for Neural Architecture Accuracy Prediction
Regression algorithms are a common tool to predicting a candidate architecture's accuracy, which can dramatically accelerate the search procedure.
A Comprehensive Review of Skeleton-based Movement Assessment Methods
The raising availability of 3D cameras and dramatic improvement of computer vision algorithms in the recent decade, accelerated the research of automatic movement assessment solutions.
A-MAL: Automatic Movement Assessment Learning from Properly Performed Movements in 3D Skeleton Videos
The task of assessing movement quality has recently gained high demand in a variety of domains.
Learning to Detect and Retrieve Objects from Unlabeled Videos
In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved.
