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Found 4 papers, 1 papers with code
Weakly Supervised Attended Object Detection Using Gaze Data as Annotations
Since labeling large amounts of data to train a standard object detector is expensive in terms of costs and time, we propose a weakly supervised version of the task which leans only on gaze data and a frame-level label indicating the class of the attended object.
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
To address this problem, we created a new dataset containing both synthetic and real images of 16 different artworks.
Ranked #1 on
Unsupervised Domain Adaptation
on UDA-CH
EGO-CH: Dataset and Fundamental Tasks for Visitors BehavioralUnderstanding using Egocentric Vision
Equipping visitors of a cultural site with a wearable device allows to easily collect information about their preferences which can be exploited to improve the fruition of cultural goods with augmented reality.
Egocentric Visitors Localization in Cultural Sites
We consider the problem of localizing visitors in a cultural site from egocentric (first person) images.
