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Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph
We utilize deep saliency networks to transfer co-saliency prior knowledge and better capture high-level semantic information, and the resulting initial co-saliency maps are enhanced by seed propagation steps over an integrated graph.
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction
From these observations, for enjoying the performance of inception-like structure on the image based problems we propose a new convolutional network-in-network structure.
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