Facial-sketch Synthesis: A New Challenge

Machine Intelligence Research - This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS). However, due to the high cost of obtaining hand-drawn sketch datasets, there is a...     

Video Polyp Segmentation: A Deep Learning Perspective

Machine Intelligence Research - We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Over the years, developments in VPS are not moving forward with...     

RGB-D salient object detection: A survey

Computational Visual Media - Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various computer...     

Stability and passivity analysis for Lur’e singular systems with Markovian switching

This paper is concerned with the stochastic stability and passivity analysis for a class of Lur’e singular systems with time-varying delay and Markovian switching. By using the free-weighting matrices approach, a delay-dependent stability criterion, which guarantees that the system is stochastically stable and robustly passive, is derived in terms of linear matrix inequality (LMI). Two numerical examples are provided to illustrate the effectiveness of the proposed method.     

Structure-Measure: A New Way to Evaluate Foreground Maps

International Journal of Computer Vision - Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection...     

SOAP技术及其应用

1.引言在八十年代,两个主要的RPC协议是Sun RPC和DCE RPC。最流行的Sun RPC应用是大多数UNIX系统所使用的Network File System(NFS)。最流行的DCE RPC应用则是Windows NT,它采用DCE RPC协议来实现许多系统服务。这两个协议被证明适用于很大范围的应用。但是,在八十年代末期,面向对象技术的风靡使软件界沉迷于在面向对象语言和基于RPC的通信之间建立一个纽带。在九十年代产生的对     

特大直径松散地层取心技术在辽河稠油油藏的应用

辽河油田稠油、超稠油油层,砾石充填物为松散砂层、油砂层和软泥岩。常规取心过程中,细砂、油砂易被钻井液冲走而不进筒;砾石坚硬,可钻性差,并且活动砾石搅动岩心,故岩心收获率低。针对这种地层特点,研制了BX-195型特大直径液压剪销式取心工具及相应的取心钻头,并对该工具进行强度校核。该工具以大直径岩心增大岩心强度,采用全封一把爪式岩心爪,防止起钻过程中岩心掉井,故而大幅度提高岩心收获率。现场应用2口井,取心进尺270．95m,心长211．39m,岩心收获率达到78．02％,比采用其他取心工具的岩心收获率提高了30％以上,具有推广应用前景。     

Semantic Edge Detection with Diverse Deep Supervision

Semantic edge detection (SED), which aims at jointly extracting edges as well as their category information, has far-reaching applications in domains such as semantic segmentation, object proposal generation, and object recognition. SED naturally requires achieving two distinct supervision targets: locating fine detailed edges and identifying high-level semantics. Our motivation comes from the hypothesis that such distinct targets prevent state-of-the-art SED methods from effectively using deep supervision to improve results. To this end, we propose a novel fully convolutional neural network using diverse deep supervision within a multi-task framework where bottom layers aim at generating category-agnostic edges, while top layers are responsible for the detection of category-aware semantic edges. To overcome the hypothesized supervision challenge, a novel information converter unit is introduced, whose effectiveness has been extensively evaluated on SBD and Cityscapes datasets.

     

融合描述文档结构和参引特征的Web 服务发现

首先分析研究Web服务描述文档(WSDL文档)的两大特征——结构特征和参引特征,然后根据各个特征对Web服务功能语义描述的影响,提出相应的Web服务表示模型——多向量表示模型.区别于通用文本表示模型,该模型能够显式地表示Web服务描述文档的本质特征.其中,结构特征语义表现在多向量空间的划分上,参引特征语义映射到子向量模型中特征权重的计算上.提出了基于多向量模型的Web服务相似度计算方法,并实现了基于该模型的Web服务发现原型系统.最后,在真实Web服务描述文档集合上构造了一个具有不完全相关性判断且涵盖了1576个WSDL文档的Web服务发现测试集,并在该测试集上进行了基于多向量模型的Web服务发现实验评估.实验结果表明,基于多向量模型的Web服务发现方法的检索效果比基于简单文本向量空间模型发现方法的检索效果在95%的置信度下有了显著提高.     

Full-duplex strategy for video object segmentation

Computational Visual Media - Previous video object segmentation approaches mainly focus on simplex solutions linking appearance and motion, limiting effective feature collaboration between these...