Skill determination is formulated as a ranking problem, making it suitable for common and generic tasks. However, for long videos, parts of the video are irrelevant for assessing skill, and there may be variability in the skill exhibited throughout a video.
Dec 13, 2018
We present a new model to determine relative skill from long videos, through learnable temporal attention modules. Skill determination is formulated as a ...
Dec 9, 2020 · This thesis explores skill determination in long videos of daily-living tasks. It begins with a global view of the task and aims to learn to ...
Jan 21, 2021 · Typically, skill determination from video has focussed on short tasks, where the performance of a single action is evaluated in accordance with ...
This paper presents a method for assessing skill of per- formance from video, for a variety of tasks, ranging from drawing to surgery and rolling dough.
We present a new model to determine relative skill from long videos, through learnable temporal attention modules. Skill determination is formulated as a ...
We propose a novel loss function that learns discriminative features when a pair of videos exhibit variance in skill, and learns shared features when a pair of ...
Oct 9, 2018 · In this work, we present a framework for learning skills from videos (SFV). By combining state-of-the-art techniques in computer vision and ...
Mar 29, 2017 · We present a method for assessing skill from video, applicable to a variety of tasks, ranging from surgery to drawing and rolling pizza dough.