Results 21 to 30 of about 9,227 (304)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Interpretation of 3-D scene through LiDAR point clouds has been a hot research topic for decades. To utilize measured points in the scene, assigning unique tags to the points of the scene with labels linking to individual objects plays a crucial role in ...
Yusheng Xu +6 more
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Two-Stage Fusion-Based Audiovisual Remote Sensing Scene Classification
Applied Sciences, 2023 Scene classification in remote sensing is a pivotal research area, traditionally relying on visual information from aerial images for labeling. The introduction of ground environment audio as a novel geospatial data source adds valuable information for ...
Yaming Wang +4 more
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Learning multi-label scene classification [PDF]
Pattern Recognition, 2004 In classic pattern recognition problems, classes are mutually exclusive by definition. Classification errors occur when the classes overlap in the feature space. We examine a different situation, occurring when the classes are, by definition, not mutually exclusive.
Matthew R. Boutell +3 more
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Hierarchical semantic segmentation of image scene with object labeling
EURASIP Journal on Image and Video Processing, 2018 Semantic segmentation of an image scene provides semantic information of image regions while less information of objects. In this paper, we propose a method of hierarchical semantic segmentation, including scene level and object level, which aims at ...
Qing Li, Aihua Liang, Hongzhe Liu
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Scene Graph Generation Method Based on External Information Guidance and Residual Scrambling
Jisuanji kexue yu tansuo, 2021 Scene graphs have become one of the hotspots in computer vision research area due to their characteristics of representing the semantic and organizational structure of visual scene content, which facilitates visual comprehension and interpretable ...
TIAN Xin, JI Yi, GAO Haiyan, LIN Xin, LIU Chunping
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Data Augmentation Method for AMR-to-Text Generation [PDF]
Jisuanji gongcheng, 2022 In the process of Abstract Meaning Representation(AMR)-to-text generation, the transformation from AMR graph to text is largely affected by the size of the corpus.A simple and effective dynamic data augmentation method is proposed to improve the ...
FU Yeqiang, LI Junhui
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Scene understanding by labeling pixels
Communications of the ACM, 2014 Pixels labeled with a scene's semantics and geometry let computers describe what they see.
Gould, Stephen, He, Xuming
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Dense tracking, mapping and scene labeling using a depth camera
Revista Facultad de Ingeniería Universidad de Antioquia, 2018 We present a system for dense tracking, 3D reconstruction, and object detection of desktop-like environments, using a depth camera; the Kinect sensor.
Andrés Alejandro Díaz-Toro +3 more
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DAG-Recurrent Neural Networks for Scene Labeling [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 In image labeling, local representations for image units are usually generated from their surrounding image patches, thus long-range contextual information is not effectively encoded. In this paper, we introduce recurrent neural networks (RNNs) to address this issue.
Bing Shuai +3 more
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Road Segmentation and Environment Labeling for Autonomous Vehicles
Applied Sciences, 2022 In autonomous vehicles (AVs), LiDAR point cloud data are an important source to identify various obstacles present in the environment. The labeling techniques that are currently available are based on pixel-wise segmentation and bounding boxes to detect ...
Rung-Ching Chen +3 more
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