SuperCNN: A superpixelwise convolutional neural network for salient object detection

• Main Authors: HE, Shengfeng, LAU, Rynson W.H., LIU, Wenxi, HUANG, Zhe, YANG, Qingxiong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Contextual information; Convolutional neural network; Deep learning; Feature learning; Internal representation; Saliency detection; Salient object detection; State-of-the-art methods; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8366; https://ink.library.smu.edu.sg/context/sis_research/article/9369/viewcontent/SuperCNN_A_superpixelwise_convolutional_neural_network_for_salient_object_detection.pdf
• Institution: Singapore Management University

Existing computational models for salient object detection primarily rely on hand-crafted features, which are only able to capture low-level contrast information. In this paper, we learn the hierarchical contrast features by formulating salient object detection as a binary labeling problem using dee...