We learn a model that can localize the attended object in a cluttered egocentric view, even if the attended object was never seen before in the training data.
We show that by learning disentangled representations for localization and classification, our model can effectively localize novel attended objects that were ...
Aug 19, 2020 · Home · Developmental Psychology · Psychology · Egocentrism. Conference PaperPDF Available. Localizing Novel Attended Objects in Egocentric Views.
Abstract. The ability to actively ground task instructions from an egocentric view is crucial for AI agents to accomplish tasks or assist humans virtually.
Missing: Novel Attended
Localizing Novel Attended Objects in Egocentric Views. record by Md A Reza • Localizing Novel Attended Objects in Egocentric Views. Shujon Naha, Md. Alimoor ...
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Three Studies on Generalizing to Novel Objects in Computer Vision Using Semantic Guidance ... Localizing Novel Attended Objects in Egocentric Views. S Naha, MA ...
Egocentric video recognition is a natural testbed for diverse interaction reasoning. Due to the large action vocabulary in egocentric video datasets, recent ...
This paper addresses the problem of learning object models from egocentric video of household activities, us- ing extremely weak supervision.
Different from existing works, we propose an audio-visual learning framework to explicitly solve ego- motion and out-of-view audio issues in egocentric videos.