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A generative superpixel method.
2014Superpixel methods have become popular in recent years as they provide an efficient preprocessing tool for a manifold of computer vision applications. In this work, we propose a method based on a self-adapting and self-growing network, which is bred starting from two random initialization seeds in the image.
MORERIO, PIETRO +2 more
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2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair Philip Moore +4 more
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Alastair Philip Moore +4 more
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MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors
IEEE Transactions on Image Processing, 2022Puhua Chen, Fang Liu, Lingling Li
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Superpixel-Based 3D Deep Neural Networks for Hyperspectral Image Classification
Pattern Recognition, 2018Cheng Shi, Chi-Man Pun
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SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2018Jing-Hao Xue, Fei Zhou, Qingmin Liao
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Superpixel-Based Segmentation for 3D Prostate MR Images
IEEE Transactions on Medical Imaging, 2016Zhenfeng Zhang +2 more
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Spatiotemporal GMM for Background Subtraction With Superpixel Hierarchy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018Qingxiong Yang +2 more
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A Superpixel-Based Dual Window RX for Hyperspectral Anomaly Detection
IEEE Geoscience and Remote Sensing Letters, 2020Liaoying Zhao, Lang Ren
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