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Multi-scale salient object detection with pyramid spatial pooling

Zhang, Jing; Dai, Yuchao; Porikli, Fatih; He, Mingyi


Salient object detection is a challenging task in complex compositions depicting multiple objects of different scales. Albeit the recent progress thanks to the convolutional neural networks, the state-of-the-art salient object detection methods still fall short to handle such real-life scenarios. In this paper, we propose a new method called MP-SOD that exploits both Multi-Scale feature fusion and Pyramid spatial pooling to detect salient object regions in varying sizes. Our framework consists...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Conference paper
Source: Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
DOI: 10.1109/APSIPA.2017.8282222


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