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]
|Collections||ANU Research Publications|
|Source:||Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017|
|01_Zhang_Multi-scale_salient_object_2018.pdf||4.82 MB||Adobe PDF||Request a copy|
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