搜索结果: 1-15 共查到“Semantic”相关记录54条 . 查询时间(0.484 秒)
POINT CLOUD SEGMENTATION AND SEMANTIC ANNOTATION AIDED BY GIS DATA FOR HERITAGE COMPLEXES
Point Cloud Segmentation Semantic GIS Heritage Complex Automation
2019/3/4
Point cloud segmentation is an important first step in categorising a raw point cloud data. This step is necessary in order to better manage the data and generate other derivative products, e.g. 3D GI...
ORTHOSEG: A DEEP MULTIMODAL CONVOLUTONAL NEURAL NETWORK ARCHITECTURE FOR SEMANTIC SEGMENTATION OF ORTHOIMAGERY
Deep Learning Supervised Image Segmentation Residual Networks
2018/11/19
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
SEMANTIC MODELING OF UTILITY NETWORKS IMPLEMENTATION OF USE CASES FOR DEHRADUN CITY
OGC CityGML data model Utility Network ADE data storage utility infrastructure use cases
2018/11/19
The current on-going boom in the field of Building Information Modeling (BIM) and 3D GIS is widely being explored for vast urban related applications, analyses and simulations. Large amount of 3D city...
HIGH-LEVEL-OF-DETAIL SEMANTIC 3D GIS FOR RISK AND DAMAGE REPRESENTATION OF ARCHITECTURAL HERITAGE
Cultural Heritage Semantic 3D Model Database
2018/9/19
The need to share information about architectural heritage effectively after a disaster event, in order to foster its preservation, requires the use of a common language between the involved actors an...
COMBINING URBAN METABOLISM METHODS AND SEMANTIC 3D CITY MODELS
Stocks and Flows, Urban Metabolism 3D City Model CityGML General Indicator Model GIM Dynamizer
2018/9/12
he last decade has witnessed increasing interest in the study of urban stocks and flows. This paper provides a literature review for different studies of urban stocks and flows. The review shows that ...
EXTRACTING 3D SEMANTIC INFORMATION FROM VIDEO SURVEILLANCE SYSTEM USING DEEP LEARNING
3-D space Camera calibration Target recognition Target tracking
2018/4/30
At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tra...
SINGLE-SHOT SEMANTIC MATCHER FOR UNSEEN OBJECT DETECTION
Convolutional Neural Networks Object Detection Semantic Matching Single-Shot Detector
2018/3/30
In this paper we combine the ideas of image matching, object detection, image retrieval and zero-shot learning for stating and solving the semantic matching problem. Semantic matcher takes two images ...
2017第二届国际企业大数据语义与分析建模研讨会（2nd International Workshop on Enterprise Big Data Semantic and Analytics Modeling）
2017 第二届 国际企业 大数据 语义 分析 建模 研讨会
2017/11/27
While big data has been a topic of research and industry activity, much of it has been focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/5/15
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
第8届国际语义Web数据工程研讨会（8th International Workshop on Data Engineering Meets the Semantic Web）(DESWeb)
第8届 国际语义Web数据工程 研讨会
2017/3/30
The DESWeb workshop on "Data Engineering meets the Semantic Web" aims at bridging the gap between the recent advent of Semantic Web technologies and the well-established database techniques. As it has...
第一届国际机器人医疗设备和语义系统研讨会（The First International Workshop on Robotic Medical Devices and Semantic Systems ）
第一届 国际机器人医疗设备 语义系统 研讨会
2017/2/15
Medical robotics includes a number of devices used for surgery, medical training, rehabilitation therapy, prosthetics, and assisting people with disabilities. Nowadays, robotic devices are used to rep...
While many traditional robots are limited by a predefined set of alternatives for interactions and collaborations, one of the challenging goals in robotics and computer science is to build future robo...
Static Error Detection Using Semantic Inconsistency Inference
Static analysis error detection satisfiability inconsistency
2016/5/24
Inconsistency checking is a method for detecting software errors that relies only on examining multiple uses of a value. We propose that inconsistency inference is best understood as a variant of the ...
Safe-A Semantic Technique for Transforming Programs in the Presence of Errors
equational reasoning exceptions program optimization program transformation
2016/5/24
Language designers and implementors have avoided specifying and preserving the meaning of programs that produce errors. This is apparently because being forced to preserve error behavior severely limi...
Exploring Semantic Inter-class Relationships (SIR) for Zero-shot Action Recognition
Exploring Semantic Inter-class Relationships Zero-shot Action Recognition
2016/1/22
Automatically recognizing a large number of action cat-egories from videos is of significant importance for video understanding. Most existing works focused on the design of more discriminative featur...