Convolutionalneuralnetworks相关论文
Removing the smog from digital images is a chal-lenging pre-processing tool in various imaging systems.There-fore,many s......
The lithofacies classification is essential for oil and gas reservoir exploration and development.The tra-ditional metho......
The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-en-ergy-......
Automatic quality monitoring for steel plate is a typical challenge in industries.Although there have been several resea......
Relation extraction is an important part of many information extrac-tion systems that mines structured facts from texts.......
Document digitalization is one of the basic technologies in multimedia information search and retrieval research area.It......
This paper proposes a neural model for closed-set Chinese word segmentation.The model follows the character-based approa......
The object detection method based on deep learning is widely used in Unmanned Aerial Vehicle(UAV)power line inspection.H......
高质量的对地观测需要时空连续的高分辨率遥感图像。有很多研究开展时空融合研究得到了广泛开展，集中在LandSat和MODIS卫星之间。目......
基于机器学习和深度学习的土壤元素含量光谱法建模是土壤化学成分检测的研究热点。为提高基于卷积神经网络的土壤元素含量光谱法建......
生物特征的识别是计算机科学技术一个有吸引力的研究领域,虹膜作为一种软生物特征,具有唯一性、稳定性和防伪性等优点,从虹膜图像......
面对海量的视频数据,视频摘要技术在视频检索、视频浏览等领域发挥着越来越重要的作用,其旨在通过生成简短的视频片段或选择关键帧......
针对MDNet跟踪算法网络模型中存在的特征稳健性差以及目标背景信息丢失导致跟踪失败的问题,提出一种基于重构特征联合的多域卷积神......
在对卷积神经网络（CNN）的可解释性研究中，针对特征信息的定量分析是研究的重点。本文提出一种基于信息熵的特征度量方法，用于定量分析C......
与传统的超分辨算法相比,基于卷积神经网络的超分辨算法具有较大优势,但仍存在训练时间较长、重建图像纹理不够清晰等问题。基于此......
针对现有遥感图像目标检测算法对于复杂场景下多尺度目标检测精度较低、泛化能力差的问题,提出了一种多尺度卷积神经网络遥感目标......
为实现高速铁路周界侵限检测系统自动识别轨道区域的功能,提出了一种自适应的图像分割与识别算法。计算了每个场景的直线特征极大......
红外弱小目标成像面积小、可用特征少,目标检测极易受背景杂波干扰,因此,如何准确地检测复杂场景下的弱小目标成为一个技术难点。......
针对视频序列中的几种异常行为,构建训练模型,对其进行识别。使用卷积神经网络(CNN)进行特征提取并采用Adam算法(一种基于梯度的优......
近年来,深度学习技术的爆发式发展引领了机器学习的又一次浪潮。深度神经网络具备抽象特征的高效识别与提取能力、强大的非线性拟......
Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-
...
This paper studies semantic segmentation primarily under image-level weak-supervision. Most stateof-the-art technologies......
Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufactur
As an integrated application of modern information technologies and artificial intelligence,Prognostic and Health Manage......
为了保证定位的速度和准确率，采用2016年在目标检测领域取得最佳检测效果的YOLOv2网络制作了以明显特征的地物作为目标区域的目标检......
针对遥感图像中的目标检测问题,采用基于卷积神经网络的目标检测框架对目标进行提取,针对该网络制作了包含三类遥感图像中常见目标......
红外和可见光图像块匹配在视觉导航和目标识别等任务中有着广泛的应用.由于红外和可见光传感器有不同的成像原理,红外和可见光图像......
In this paper,a new architecture of optoelectronic convolutional neural networks(CNNs)based on time-stretch method is pr......
Age estimation plays an important role in human-computer interaction system.The lack of large number of facial images wi......
