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Semantic Aware Stitching for Panorama. [PDF]
Sensors (Basel)Jia Y, Li Z, Zhang L, Song B, Song R.
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Enhancing spatio-temporal environmental analyses: A machine learning superpixel-based approach. [PDF]
HeliyonEstefania-Salazar E, Iglesias E.
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation. [PDF]
Sci RepThiruchittampalam S +3 more
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A Joint Bayesian Longitudinal Model for Macular Structure-Function Correlations in Glaucoma. [PDF]
Ophthalmol SciSu E +7 more
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2011 International Conference on Computer Vision, 2011
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
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While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
openaire +1 more source
2015 IEEE International Conference on Image Processing (ICIP), 2015
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
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As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
openaire +1 more source
Superpixel Convolution for Segmentation
2018 25th IEEE International Conference on Image Processing (ICIP), 2018In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki +3 more
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