Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2936112
Abstract: This paper proposes a novel residual attentive learning network architecture for predicting dynamic eye-fixation maps. The proposed model emphasizes two essential issues, i.e., effective spatiotemporal feature integration and multi-scale saliency learning. For the first problem,… read more here.
Keywords: prediction using; video saliency; saliency prediction; using spatiotemporal ... See more keywords