视觉论文文献

视觉论文文献

推荐下计算机视觉这个领域，依据学术范标准评价体系得出的近年来最重要的9篇论文吧：

（对于英语阅读有困难的同学，访问后可以使用翻译功能）

一、Deep Residual Learning for Image Recognition 

摘要：Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth. On the ImageNet dataset we evaluate residual nets with a depth of up to 152 layers—8× deeper than VGG nets [40] but still having lower complexity. An ensemble of these residual nets achieves 3.57% error on the ImageNet test set. This result won the 1st place on the ILSVRC 2015 classification task. We also present analysis on CIFAR-10 with 100 and 1000 layers. The depth of representations is of central importance for many visual recognition tasks. Solely due to our extremely deep representations, we obtain a 28% relative improvement on the COCO object detection dataset. Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions1, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

全文链接： 文献全文 - 学术范 ()

二、Very Deep Convolutional Networks for Large-Scale Image Recognition

摘要：In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting. Our main contribution is a thorough evaluation of networks of increasing depth using an architecture with very small (3x3) convolution filters, which shows that a significant improvement on the prior-art configurations can be achieved by pushing the depth to 16-19 weight layers. These findings were the basis of our ImageNet Challenge 2014 submission, where our team secured the first and the second places in the localisation and classification tracks respectively. We also show that our representations generalise well to other datasets, where they achieve state-of-the-art results. We have made our two best-performing ConvNet models publicly available to facilitate further research on the use of deep visual representations in computer vision.

全文链接： 文献全文 - 学术范 ()

三、U-Net: Convolutional Networks for Biomedical Image Segmentation

摘要：There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available annotated samples more efficiently. The architecture consists of a contracting path to capture context and a symmetric expanding path that enables precise localization. We show that such a network can be trained end-to-end from very few images and outperforms the prior best method (a sliding-window convolutional network) on the ISBI challenge for segmentation of neuronal structures in electron microscopic stacks. Using the same network trained on transmitted light microscopy images (phase contrast and DIC) we won the ISBI cell tracking challenge 2015 in these categories by a large margin. Moreover, the network is fast. Segmentation of a 512x512 image takes less than a second on a recent GPU. The full implementation (based on Caffe) and the trained networks are available at people/ronneber/u-net.

全文链接： 文献全文 - 学术范 ()

四、Microsoft COCO: Common Objects in Context

摘要：We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. This is achieved by gathering images of complex everyday scenes containing common objects in their natural context. Objects are labeled using per-instance segmentations to aid in precise object localization. Our dataset contains photos of 91 objects types that would be easily recognizable by a 4 year old. With a total of 2.5 million labeled instances in 328k images, the creation of our dataset drew upon extensive crowd worker involvement via novel user interfaces for category detection, instance spotting and instance segmentation. We present a detailed statistical analysis of the dataset in comparison to PASCAL, ImageNet, and SUN. Finally, we provide baseline performance analysis for bounding box and segmentation detection results using a Deformable Parts Model.

全文链接： 文献全文 - 学术范 ()

五、Rethinking the Inception Architecture for Computer Vision

摘要：Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks. Although increased model size and computational cost tend to translate to immediate quality gains for most tasks (as long as enough labeled data is provided for training), computational efficiency and low parameter count are still enabling factors for various use cases such as mobile vision and big-data scenarios. Here we are exploring ways to scale up networks in ways that aim at utilizing the added computation as efficiently as possible by suitably factorized convolutions and aggressive regularization. We benchmark our methods on the ILSVRC 2012 classification challenge validation set demonstrate substantial gains over the state of the art: 21:2% top-1 and 5:6% top-5 error for single frame evaluation using a network with a computational cost of 5 billion multiply-adds per inference and with using less than 25 million parameters. With an ensemble of 4 models and multi-crop evaluation, we report 3:5% top-5 error and 17:3% top-1 error on the validation set and 3:6% top-5 error on the official test set.

全文链接： 文献全文 - 学术范 ()

六、Mask R-CNN

摘要：We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition. Mask R-CNN is simple to train and adds only a small overhead to Faster R-CNN, running at 5 fps. Moreover, Mask R-CNN is easy to generalize to other tasks, e.g., allowing us to estimate human poses in the same framework. We show top results in all three tracks of the COCO suite of challenges, including instance segmentation, bounding-box object detection, and person keypoint detection. Without tricks, Mask R-CNN outperforms all existing, single-model entries on every task, including the COCO 2016 challenge winners. We hope our simple and effective approach will serve as a solid baseline and help ease future research in instance-level recognition. Code will be made available.

全文链接： 文献全文 - 学术范 ()

七、Feature Pyramid Networks for Object Detection

摘要：Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are slow to compute and memory intensive. In this paper, we exploit the inherent multi-scale, pyramidal hierarchy of deep convolutional networks to construct feature pyramids with marginal extra cost. A top-down architecture with lateral connections is developed for building high-level semantic feature maps at all scales. This architecture, called a Feature Pyramid Network (FPN), shows significant improvement as a generic feature extractor in several applications. Using a basic Faster R-CNN system, our method achieves state-of-the-art single-model results on the COCO detection benchmark without bells and whistles, surpassing all existing single-model entries including those from the COCO 2016 challenge winners. In addition, our method can run at 5 FPS on a GPU and thus is a practical and accurate solution to multi-scale object detection. Code will be made publicly available.

全文链接： 文献全文 - 学术范 ()

八、ORB: An efficient alternative to SIFT or SURF

摘要：Feature matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods rely on costly descriptors for detection and matching. In this paper, we propose a very fast binary descriptor based on BRIEF, called ORB, which is rotation invariant and resistant to noise. We demonstrate through experiments how ORB is at two orders of magnitude faster than SIFT, while performing as well in many situations. The efficiency is tested on several real-world applications, including object detection and patch-tracking on a smart phone.

全文链接： 文献全文 - 学术范 ()

九、DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

摘要：In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit. First , we highlight convolution with upsampled filters, or ‘atrous convolution’, as a powerful tool in dense prediction tasks. Atrous convolution allows us to explicitly control the resolution at which feature responses are computed within Deep Convolutional Neural Networks. It also allows us to effectively enlarge the field of view of filters to incorporate larger context without increasing the number of parameters or the amount of computation. Second , we propose atrous spatial pyramid pooling (ASPP) to robustly segment objects at multiple scales. ASPP probes an incoming convolutional feature layer with filters at multiple sampling rates and effective fields-of-views, thus capturing objects as well as image context at multiple scales. Third , we improve the localization of object boundaries by combining methods from DCNNs and probabilistic graphical models. The commonly deployed combination of max-pooling and downsampling in DCNNs achieves invariance but has a toll on localization accuracy. We overcome this by combining the responses at the final DCNN layer with a fully connected Conditional Random Field (CRF), which is shown both qualitatively and quantitatively to improve localization performance. Our proposed “DeepLab” system sets the new state-of-art at the PASCAL VOC-2012 semantic image segmentation task, reaching 79.7 percent mIOU in the test set, and advances the results on three other datasets: PASCAL-Context, PASCAL-Person-Part, and Cityscapes. All of our code is made publicly available online.

全文链接： 文献全文 - 学术范 ()

希望对你有帮助！

视觉传达专业参考文献

【参考文献】

[1] 赵燕.视觉传达设计概论纲要[J];包装世界，1996年01期

[2] 杨屏.视觉传达设计的现代化与国际化趋向[J].西北美术,1999年04期

[3] 陈湘.谈现代视觉传达设计的起源和发展[J].财贸研究,2000年06期

[4] 何洁.当代视觉传达设计散论[J].装饰,1998年01期

[5] 鬲波飞.网络媒体的视觉传达设计研究[D].湖南大学学报,2002年

[6] 华佳.视觉传达设计与视觉思维[D].苏州大学学报,2004年

[7] 孙超英.信息时代的视觉传达设计[N].中华读书报,2002年

【参考文献】

[1] 潜铁宇 熊兴福 《视觉传达设计》 武汉理工大学出版社

[2] 杨伟 《关于网络传播中视觉传达设计的研究》 电化教育研究

[3] 李金辉 《简述多媒体中的视觉传达》 理论观察2008年第5期

[4] 葛中 《多媒体设计与视觉传达》 考试周刊2007年第23期

[5] 余义虎 《视觉传达设计多元特征与表现》甘肃联合大学学报(社会科学版)

【参考文献】

[1]刘丹.视觉元素在网页设计中的运用[J].合肥工业大学学报，2006 (02)

[2]杨西惠.网页设计的视觉要素与编排创意[J].装饰，2005 (04)

【参考文献】

[1]《现代十大设计理念》.何晓佑.江苏美术出版社.2001. 8

[2]《视觉传达设计实践》.靳埭强.上海文艺出版社.2005.12

[3]《视觉传达色彩设计》.崔唯；周钧.中国青年出版社.2008.2

[4]靳埭强·身度心道——中国文化为本的设计·绘画·教育[M].安徽美术出版社,2008,(5)

[参考文献]：
[1] 设计[EB/OL]. 百度百科. 2010.4.11
[2] 尹定邦. 设计学概论[M]. 长沙：湖南科学技术出版社,2005.02. 第54-55页
[3] 霍思比. 牛津高阶英汉双解词典（第四版）[Z]. 北京：商务印书馆,1997 .09. 第388页-389页
[4] 朱彧. 设计艺术概论[M]. 长沙：湖南大学出版社. 2006.03. 第3-4页、第158页
[5] 视觉传达设计[EB/OL]. 百度百科. 2010.4.30.
[6] 李砚祖. 视觉传达设计的历史与美学[M]. 北京：北京人民大学出版社,2000.01. 第2-3页
[7] 曾宪楷. 视觉传达设计[M]. 北京：北京理工大学出版社. 1991.07. 第1-2页
[8] 吴鑫. 设计教育当随时代——论信息技术的发展与视觉传达设计学科的课程改革[D]. 中国优秀博硕学位论文全文数据库,2006.
[9] 冯玉雪. 艺术设计与社会经济发展[J]. 美与时代, 2003(09). 第51-52页
[10] 胡锦涛在全国科学技术大会上的讲话[C/OL]. 新华网.
2006.01.09
[11] 黄梅荣. 艺术设计教学创新——数码媒体的重要性[J]. 装饰, 2004(12). 第88-89页
[12] 贾凤兰. 文化创意产业的由来与发展[J]. 求是,2009 (24). 第53页
[13] 张幼云. 美术教育大视野——中外高等美术教育比较研究[M]. 北京：高等教育出版社,2009.12. 第4页、第46页、第150-153页
[14] 国内外创意产业的发展概况[EB/OL]. 金羊网. 2006.08.10
[15] 杨德广 王勤. 从经济全球化到教育国际化的思考[J]. 教学研究(河北) ,2000年第23卷第四期 第292页
[16] 张小鹭. 现代美术教育学[M]. 重庆：西南师范大学出版社. 2002.06. 第2页、第175页
[17] 吕村. 艺术设计教育学科课程设置的回顾与现状[J]. 中州大学学报, 2009（02）. 第79页
[18] 陈晓英. 对高校艺术设计专业教育现状的分析与思索[J]. 电影评介, 2008(22). 第85页
[19] 张梦. 日本武藏野美术大学视觉传达设计教育的考察[J]. 艺术教育, 2009(05). 第14页
[20] 彭亮. 台湾高等设计教育特色及对大陆设计教育的启示[J]. 家具与室内装饰, 2003(12) 第68-71页
[21] 曹田泉. 设计艺术概论[M]. 上海：上海人民出版社, 2005. 09. 第17页
[22] 翁丽芬. 中国高校设计艺术教育发展的现状与改革对策研究[D]. 中国优秀博硕学位论文全文数据库, 2007.
[23] 汪晓春. 美国辛辛那提大学设计、建筑、艺术和规划学校的设计教学[J/OL]. 中国设计在线网站. 2006.12
[24] 赵倩. 设计艺术教育与人文精神——论高校设计艺术专业教育中人文社科课程设置的必要性[D]. 中国优秀博硕学位论文全文数据库, 2007.
[25] 林采霖. 设计院校与设计业界建立双向多元化合作之研究[J]. 装饰, 2005 (03). 第77页

平面设计论文参考文献

平面设计论文参考文献范例

在现实的学习、工作中，大家总免不了要接触或使用论文吧，论文是学术界进行成果交流的工具。那么一般论文是怎么写的呢？以下是我精心整理的平面设计论文参考文献范例，仅供参考，欢迎大家阅读。

[1]《古籍版本学概论》，严佐之著，华东师范大学出版社，2008 年 10 月第一次，第二版

[2]《中国雕版源流考》，孙毓修著，商务印书馆，1990 年 9 月第一版第一次印刷

[3]《南宋手工业史》，葛金芳著，上海古籍出版社，2008 年 12 月

[4]《南宋人口史》，吴松弟著，上海古籍出版社，2008 年 10 月第 1 版

[5]《书法通论》，丁文隽著，人民美术出版社，2005 年 5 月第 2 版 第 2 次印刷

[6]《古书版本常谈》毛春朔著，上海古籍出版社出版发行，2002 年 7 月第 1 版，2003 年 4 月第 3 次印刷

[7]《书林清话》(插图本)叶德辉撰，(古籍版本基本知识丛书)上海古籍出版社，2008 年 2 月第 1 版， 2008 年 2 月第 1 次印刷

[8]《宋代地域文化》，程民生著，(宋代研究丛书)，河南大学出版社出版，1997 年 8 月第 1 版第 1 次印刷

[9]《万物》，[德]雷德侯著，张总等译，党晟校，生活·读书·新知 三联书店，2005 年 12 月北京第 1 次印刷

[10]《中国古代书籍装帧》，杨永德著，北京：人民美术出版社，2006 年 4 月

[11]《天工开物》，[明]宋应星著，潘吉星译注，(中国古代科技名著译注丛书，韩寓群，徐传武主编)，上海古籍出版社 2008 年 4 月第 1 次印刷

[1]Krumhansl, C. L. 2002. “Music: A Link between Cognition and Emotion” [A]. InCurrent Directions in Psychological Science, Vol. 11 [C]: 45-50. Oxford: BlackwellPublishers.

[2]Mitnick, K. D., and W. L. Simon. 2002. The Art of Deception: Controlling theHuman Element of Security [M]. Indianapolis: Wiley.

[3]Ekman, P. 2003. Emotions Revealed: Recognizing Faces and Feelings to ImproveCommunication and Emotional Life [M]. New York: Henry Holt & Co./Times Books.

[5]Quentin Newark. 2007. What Is Graphic Design? Essential Design Handbooks [M].RotoVision.

[6]Berryman, Gregg. 1990. Notes on graphic design and visual communication [M].Crisp Publications.

[7]Bojko, Szymon. 1972. New graphic design in revolutionary Russia [M]. LundHumphries.

[8]Thompson, Bradbury. 1988. The art of graphic design: Bradbury Thompson [M]. YaleUniversity Press.

[9]Ades, Dawn, Brown, Robert K.，Friedman, Mildred S.1984. The 20th-century poster:Design of the avant-garde [M]. Abbeville Press.

[10]White, Jan V. 1988. Graphic design for the electronic age [M]. Watson-GuptillPublications.

[11]吴国欣.标志设计[M].上海：上海人民美术出版社，2002.

[12]朱锷.现代平面设计巨匠田中一光的设计世界[M].北京：中国青年出版社，1998.

[13](日)Works 社编辑部编著.日本平面创意设计年鉴 2005[M].北京：中国青年出版社，2006.

[14]王受之.世界平面设计史[M].北京：中国青年出版社，2002.

[15]何家讯.现代广告案例——理论与评析[M].上海：复旦大学出版社，1998.

[16]张金海. 世界经典广告案例评析[M].武汉：武汉大学出版社，2000.

[17]威廉 阿伦斯著，丁俊杰，程坪，苑菲，张溪. 当代广告学[M].北京：华夏出版社，2001.

[18][日]直条则夫著，俞纯鳞. 广告文稿策略-策划、创意与表现[M].北京：中国财政经济出版社，2002.

[19]汤义勇. 招贴设计[M].北京：人民美术出版社，2001.

[20]李巍. 广告经典故事——超级名牌的广告战略[M].重庆：重庆大学出版社，2002.

[21]王红卫. 商业海报设计 创意解析范例导航(附光盘)[M].北京：清华大学出版社，2007.

[22](美)斯科勒司，(美)伟德尔. 创意海报版式设计[M].大连：大连理工大学出版社，2008.45～48.

[23]周进. 世博会视觉传播设计[M].上海：东华大学出版社，2008.22～30.

[24]朱维理. 大型活动标志设计实战案释[M].北京：北京理工大学出版社，2009.

[25]梁明珠. 城市旅游开发与品牌建设研究[M].广州：暨南大学出版社，2009.

[26](日本)秋山孝. 秋山孝海报作品集[M].上海：上海人民美术出版社，2005.62～67.

[27]朱锷. 日本海报设计的形态[M].广西：广西美术出版社，2001.51～60.

[28](英)赫利. 什么是品牌设计[M].北京：中国青年出版社，2000.

[29](美)马特·马图斯. 设计趋势之上[M].山东：山东画报出版社，2009.78～86[30]刘金平. 视觉青岛[M].北京：中国旅游出版社，2007.

[30]金志国. 一杯沧海：我与青岛啤酒[M].北京：中信出版社，2008.

1.[期刊论文]探究视觉传达艺术在平面设计中的体现

期刊：视界观 | 2021 年第 011 期

摘要:平面设计是我国设计领域非常重要的组成部分。伴随人们生活水平的不断提升,对平面设计要求也越来越高。平面设计作为一种艺术行为,将视觉符号巧妙运用其中可以凸显平面设计的独特性。本文主要分析了平面设计中视觉传达艺术的体现情况,目的是凸显视觉传达艺术在平面设计中的优势,促使平面设计更加吸引观众眼球。

关键词:平面设计；视觉传达艺术；视觉符合；体现

2.[期刊论文]基于蓝墨云的《网络平面设计》课程过程性考核评价体系的设计与实践

期刊：湖北函授大学学报 | 2021 年第 004 期

摘要:"互联网+教育"是为了更加高效的教与学,本文章叙述了广告设计与制作专业《网络平面设计》课程特点及课程考核的现状,分析蓝墨云班课平台过程性考核优势,提出基于蓝墨云班课的课程过程性考核评价标准与执行方案并在《网络平面设计》课程教学中进行实践,来验证笔者构建的课程过程性考核评价标准和执行方案的合理性和科学性.

关键词:蓝墨云；过程性考核；评价方式

3.[期刊论文]民间美术色彩在现代平面设计中的运用

期刊：参花 | 2021 年第 010 期

摘要:我国的民间美术色彩经过数千年的发展和更新,已经形成了自己的特色,并且成为中国传统文化的重要组成部分,受到了社会各界的广泛关注.将民间美术色彩运用到现代平面设计之中,在弘扬传统美术的同时,还可以丰富设计作品的内涵.本文将深入探究民间美术色彩在现代平面设计中的应用,为以后的平面设计发展抛砖引玉.

关键词:民间美术；色彩；现代平面设计；融合

4.[期刊论文]浅谈平面设计要素在响应式网页设计中的重要性

期刊：数码设计．CG WORLD | 2021 年第 001 期

摘要:响应式网页设计是从2012年由西方国家开始流行起来的新兴网页设计类型,是目前我国视觉传达等设计领域比较热门的话题之一,其根本目的是要让设计的.网站能够响应用户的行为,根据不同终端设备自动调整尺寸。本文从平面设计的角度,从文字、图形图像、色彩等基本要素进行阐述,分析了响应式网页设计的基本视觉要素在具体设计中的排版、调整等问题,为响应式网页的界面设计的艺术化、个性化提供帮助。

关键词:文字；色彩；图形图像；响应式；界面设计

5.[期刊论文]数字化时代下平面设计的发展趋势

期刊：中外鞋业 | 2021 年第 006 期

摘要:现在我们已经进入了数字化的时代,这个时代呈现出越来越多维化的平面设计手段和表现方式,而且有了软件和电子设备的帮助,平面设计变得更加的平民化和大众化.本文重点分析了数字化时代下平面设计所遇到的困难,以及所面临的机遇,并根据这一现象,对数字化时代下平面设计应该朝什么方向发展进行了讨论,希望能够给相关人员一些有效的建议.

关键词:数字化时代；平面设计；趋势

关于视觉传达方面的毕业论文怎么写？求范文

　　1、论文题目：要求准确、简练、醒目、新颖。
　　2、目录：目录是论文中主要段落的简表。（短篇论文不必列目录）
　　3、提要：是文章主要内容的摘录，要求短、精、完整。字数少可几十字，多不超过三百字为宜。
　　4、关键词或主题词：关键词是从论文的题名、提要和正文中选取出来的，是对表述论文的中心内容有实质意义的词汇。关键词是用作机系统标引论文内容特征的词语，便于信息系统汇集，以供读者检索。 每篇论文一般选取3-8个词汇作为关键词，另起一行，排在“提要”的左下方。
　　主题词是经过规范化的词，在确定主题词时，要对论文进行主题，依照标引和组配规则转换成主题词表中的规范词语。
　　5、论文正文：
　　（1）引言：引言又称前言、序言和导言，用在论文的开头。 引言一般要概括地写出作者意图，说明选题的目的和意义, 并指出论文写作的范围。引言要短小精悍、紧扣主题。
　　〈2）论文正文：正文是论文的主体，正文应包括论点、论据、 论证过程和结论。主体部分包括以下内容：
　　a.提出-论点；
　　b.分析问题-论据和论证；
　　c.解决问题-论证与步骤；
　　d.结论。
　　6、一篇论文的参考文献是将论文在和写作中可参考或引证的主要文献资料，列于论文的末尾。参考文献应另起一页，标注方式按《GB7714-87文后参考文献著录规则》进行。
　　中文：标题--作者--出版物信息（版地、版者、版期）：作者--标题--出版物信息
　　所列参考文献的要求是：
　　（1）所列参考文献应是正式出版物，以便读者考证。
　　（2）所列举的参考文献要标明序号、著作或文章的标题、作者、出版物信息。