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Treatment classification of posterior capsular opacification (PCO) using automated ground truths
Comparison between gold standard GT and segmented results from our models gave a Dice coefficient value greater than 0. 7 and IoU score greater than 0. 6 for both the models showing that automated ground truths can also result in generation of an efficient model.
You-Do, I-Learn: Unsupervised Multi-User egocentric Approach Towards Video-Based Guidance
This paper presents an unsupervised approach towards automatically extracting video-based guidance on object usage, from egocentric video and wearable gaze tracking, collected from multiple users while performing tasks.
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