A Gated Fusion Network for Dynamic Saliency Prediction

15 Feb 2021 Aysun Kocak Erkut Erdem Aykut Erdem

Predicting saliency in videos is a challenging problem due to complex modeling of interactions between spatial and temporal information, especially when ever-changing, dynamic nature of videos is considered. Recently, researchers have proposed large-scale datasets and models that take advantage of deep learning as a way to understand what's important for video saliency... (read more)

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