In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. (arXiv:2208.04464v2 [cs.CV] UPDATED)

In this paper, we present the first transformer-based model to address the
challenging problem of egocentric gaze estimation. We observe that the
connection between the global scene context and local visual information is
vital for localizing the gaze fixation from egocentric video frames. To this
end, we design the transformer encoder to embed the global context as one
additional visual token and further propose a novel Global-Local Correlation
(GLC) module to explicitly model the correlation of the global token and …

arxiv correlation cv global transformer