MOET

홈페이지 · 논문 1편

MOET a dataset consists of gaze data from participants tracking specific objects, annotated with labels and bounding boxes, in crowded real-world videos, for training and evaluating attention decoding algorithms. Source:Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models Image Source: https://arxiv.org/pdf/2211.10966v1.pdf