Results 21 to 30 of about 161,455 (261)
International Journal of Advanced Robotic Systems, 2021 An accurate hierarchical stereo matching method is proposed based on continuous 3D plane labeling of superpixel for rover’s stereo images. This method can infer the 3D plane label of each pixel combined with the slanted-patch matching strategy and coarse-
Haichao Li +4 more
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Weakly Supervised Learning for Object Localization Based on an Attention Mechanism
Applied Sciences, 2021 Recently, deep learning has been successfully applied to object detection and localization tasks in images. When setting up deep learning frameworks for supervised training with large datasets, strongly labeling the objects facilitates good performance ...
Nojin Park, Hanseok Ko
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A Combinatorial Framework for Map Labeling [PDF]
, 1998 The general map labeling problem consists in labeling a set of sites (points, lines, regions) given a set of candidates (rectangles, circles, ellipses, irregularly shaped labels) for each site. A map can be a classical cartographical map, a diagram, a graph or any other figure that needs to be labeled.
Wagner, F., Wolff, A.
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An Algorithmic Framework for Labeling Network Maps [PDF]
Algorithmica, 2015 Drawing network maps automatically comprises two challenging steps, namely laying out the map and placing non-overlapping labels. In this paper we tackle the problem of labeling an already existing network map considering the application of metro maps. We present a flexible and versatile labeling model.
Benjamin Niedermann, Jan-Henrik Haunert
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Evaluation of Labeling Strategies for Rotating Maps [PDF]
ACM Journal of Experimental Algorithmics, 2014 We consider the following problem of labeling points in a dynamic map that allows rotation. We are given a set of feature points in the plane labeled by a set of mutually disjoint labels, where each label is an axis-aligned rectangle attached with one corner to its respective point.
Andreas Gemsa +2 more
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Data-Driven Variable Synthetic Aperture Imaging Based on Semantic Feedback
IEEE Access, 2019 Synthetic aperture imaging, which has been proved to be an effective approach for occluded object imaging, is one of the challenging problems in the field of computational imaging.
Congcong Li +5 more
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FormulaNet: A Benchmark Dataset for Mathematical Formula Detection
IEEE Access, 2022 One unsolved sub-task of document analysis is mathematical formula detection (MFD). Research by ourselves and others has shown that existing MFD datasets with inline and display formula labels are small and have insufficient labeling quality.
Felix M. Schmitt-Koopmann +4 more
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Label Placement in Road Maps [PDF]
, 2015 extended version of a CIAC 2015 ...
Andreas Gemsa +2 more
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The nanoscale molecular morphology of docked exocytic dense-core vesicles in neuroendocrine cells
Nature Communications, 2021 The molecular organization of exocytic vesicles regulates their transport and fusion. Prasai, Taraska, and colleagues use correlative light and electron microscopy, along with 3D tomography and gold labeling, to directly map proteins on single exocytic ...
Bijeta Prasai +6 more
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A Fast Spatial Clustering Method for Sparse LiDAR Point Clouds Using GPU Programming
Sensors, 2020 Fast and accurate obstacle detection is essential for accurate perception of mobile vehicles’ environment. Because point clouds sensed by light detection and ranging (LiDAR) sensors are sparse and unstructured, traditional obstacle clustering on raw ...
Yifei Tian +5 more
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