Results 41 to 50 of about 10,393 (248)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate superpixel segmentation of ocean remote sensing data plays a crucial role in the success of monitoring the changes on the ocean surface. Recently, so many superpixel segmentation methods have attracted much attention to ocean remote sensing ...
Qianna Cui, Haiwei Pan, Kejia Zhang
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Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy
, 2017 Wireless Capsule Endoscopy (WCE) is a relatively new technology to record the entire GI trace, in vivo. The large amounts of frames captured during an examination cause difficulties for physicians to review all these frames.
Maghsoudi, Omid Haji
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Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering [PDF]
, 2016 Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data.
Najafi, Mohammad +3 more
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Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions [PDF]
, 2014 Structured-output learning is a challenging problem; particularly so because of the difficulty in obtaining large datasets of fully labelled instances for training.
A. Delong +10 more
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Superpixel Classification Based Optic Cup Segmentation [PDF]
, 2013 In this paper, we propose a superpixel classification based optic cup segmentation for glaucoma detection. In the proposed method, each optic disc image is first over-segmented into superpixels. Then mean intensities, center surround statistics and the location features are extracted from each superpixel to classify it as cup or non-cup.
Jun, Cheng +6 more
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Rethinking Unsupervised Neural Superpixel Segmentation
2022 IEEE International Conference on Image Processing (ICIP), 2022 ICIP ...
Eliasof, Moshe +2 more
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A Semantic Segmentation Algorithm Using FCN with Combination of BSLIC
Applied Sciences, 2018 An image semantic segmentation algorithm using fully convolutional network (FCN) integrated with the recently proposed simple linear iterative clustering (SLIC) that is based on boundary term (BSLIC) is developed.
Wei Zhao +4 more
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Semi-Supervised Hierarchical Semantic Object Parsing
, 2017 Models based on Convolutional Neural Networks (CNNs) have been proven very successful for semantic segmentation and object parsing that yield hierarchies of features.
Amindavar, Hamidreza, Mirakhorli, Jalal
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic segmentation of high-resolution remote sensing images is crucial in ecological evaluation, natural resource surveys, etc. Compared with CNN-based and transformer-based methods, graph neural networks (GNNs) have drawn increasing attention because
Ying Tang, Xiangyun Hu, Tao Ke, Mi Zhang
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Joint Optical Flow and Temporally Consistent Semantic Segmentation
, 2016 The importance and demands of visual scene understanding have been steadily increasing along with the active development of autonomous systems. Consequently, there has been a large amount of research dedicated to semantic segmentation and dense motion ...
A Kundu +16 more
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