scholarly journals Gated Object-Attribute Matching Network for Detailed Image Caption

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jing Yun ◽  
ZhiWei Xu ◽  
GuangLai Gao
Keyword(s):  
Visual Attention ◽  
Matching Network ◽  
The Public ◽  
Attribute Matching ◽  
Public Datasets ◽  
Object Attribute ◽  
Image Caption ◽  
Semantic Attributes

Image caption enables computers to generate a text description of images automatically. However, the generated description is not good enough recently. Computers can describe what objects are in the image but cannot give more details about these objects. In this study, we present a novel image caption approach to give more details when describing objects. In detail, a visual attention-based LSTM is used to find the objects, as well as a semantic attention-based LSTM is used for giving semantic attributes. At last, a gated object-attribute matching network is used to match the objects to their semantic attributes. The experiments on the public datasets of Flickr30k and MSCOCO demonstrate that the proposed approach improved the quality of the image caption, compared with the most advanced methods at present.

scholarly journals Methodology for Collecting a Training Dataset for an Intrusion Detection Model

2021 ◽  
Vol 33 (5) ◽  
pp. 83-104
Author(s):  
Aleksandr Igorevich Getman ◽  
Maxim Nikolaevich Goryunov ◽  
Andrey Georgievich Matskevich ◽  
Dmitry Aleksandrovich Rybolovlev
Keyword(s):  
Attack Detection ◽  
Training Data ◽  
Training Dataset ◽  
Training Models ◽  
The Public ◽  
Detection Model ◽  
Computer Attacks ◽  
Model Training ◽  
Public Datasets

The paper discusses the issues of training models for detecting computer attacks based on the use of machine learning methods. The results of the analysis of publicly available training datasets and tools for analyzing network traffic and identifying features of network sessions are presented sequentially. The drawbacks of existing tools and possible errors in the datasets formed with their help are noted. It is concluded that it is necessary to collect own training data in the absence of guarantees of the public datasets reliability and the limited use of pre-trained models in networks with characteristics that differ from the characteristics of the network in which the training traffic was collected. A practical approach to generating training data for computer attack detection models is proposed. The proposed solutions have been tested to evaluate the quality of model training on the collected data and the quality of attack detection in conditions of real network infrastructure.

scholarly journals Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset

2020 ◽  
Vol 34 (04) ◽  
pp. 6811-6820
Author(s):  
Ruohan Zhang ◽  
Calen Walshe ◽  
Zhuode Liu ◽  
Lin Guan ◽  
Karl Muller ◽  
...  
Keyword(s):  
Decision Making ◽  
Eye Movements ◽  
Visual Attention ◽  
Large Scale ◽  
Imitation Learning ◽  
High Quality ◽  
Human Decision ◽  
Public Datasets ◽  
Game Performance

Large-scale public datasets have been shown to benefit research in multiple areas of modern artificial intelligence. For decision-making research that requires human data, high-quality datasets serve as important benchmarks to facilitate the development of new methods by providing a common reproducible standard. Many human decision-making tasks require visual attention to obtain high levels of performance. Therefore, measuring eye movements can provide a rich source of information about the strategies that humans use to solve decision-making tasks. Here, we provide a large-scale, high-quality dataset of human actions with simultaneously recorded eye movements while humans play Atari video games. The dataset consists of 117 hours of gameplay data from a diverse set of 20 games, with 8 million action demonstrations and 328 million gaze samples. We introduce a novel form of gameplay, in which the human plays in a semi-frame-by-frame manner. This leads to near-optimal game decisions and game scores that are comparable or better than known human records. We demonstrate the usefulness of the dataset through two simple applications: predicting human gaze and imitating human demonstrated actions. The quality of the data leads to promising results in both tasks. Moreover, using a learned human gaze model to inform imitation learning leads to an 115% increase in game performance. We interpret these results as highlighting the importance of incorporating human visual attention in models of decision making and demonstrating the value of the current dataset to the research community. We hope that the scale and quality of this dataset can provide more opportunities to researchers in the areas of visual attention, imitation learning, and reinforcement learning.

Small Target Recognition Using Dynamic Time Warping and Visual Attention

2020 ◽  
Author(s):  
Xinpeng Zhang ◽  
Jigang Wu ◽  
Min Meng
Keyword(s):  
Visual Attention ◽  
Gabor Wavelet ◽  
Local Contrast ◽  
Small Target ◽  
Time Warping ◽  
The Public ◽  
The Arts ◽  
Dynamic Time ◽  
Small Targets ◽  
Public Datasets

Abstract Microaneurysm is a kind of small targets in color retinal image, and it is an essential work to recognize the small target for the early diagnosis of diabetic retinopathy. This paper proposes an efficient method to accurately recognize microaneurysm. A symmetric extended curvature Gabor wavelet is presented to generate candidate objects, where some novel features are extracted for classification. A kind of statistic features is generated to distinguish between microaneurysm and thin vessels, in terms of the shape similarity of cross-section profiles. Furthermore, the visual attention-based features are proposed to compute local contrast of small targets in complex background. Random undersampling with AdaBoost (RUSBoost) classifier is employed to discriminate true microaneurysm from an overwhelming amount of candidate objects. Experimental results demonstrate that the proposed method achieves significant sensitivity and accuracy on the public datasets, in comparison to the state-of-the-arts.

Assessments of User Comments With “Alternative Views” as a Function of Media Trust

2020 ◽  
pp. 1-12
Author(s):  
Marlene Kunst
Keyword(s):  
Online Discussions ◽  
Future Research ◽  
Political Issues ◽  
Argument Quality ◽  
The Public ◽  
Mainstream Media ◽  
User Comments ◽  
Media Trust ◽  
Heuristic Information Processing

Abstract. Comments sections under news articles have become popular spaces for audience members to oppose the mainstream media’s perspective on political issues by expressing alternative views. This kind of challenge to mainstream discourses is a necessary element of proper deliberation. However, due to heuristic information processing and the public concern about disinformation online, readers of comments sections may be inherently skeptical about user comments that counter the views of mainstream media. Consequently, commenters with alternative views may participate in discussions from a position of disadvantage because their contributions are scrutinized particularly critically. Nevertheless, this effect has hitherto not been empirically established. To address this gap, a multifactorial, between-subjects experimental study ( N = 166) was conducted that investigated how participants assess the credibility and argument quality of media-dissonant user comments relative to media-congruent user comments. The findings revealed that media-dissonant user comments are, indeed, disadvantaged in online discussions, as they are assessed as less credible and more poorly argued than media-congruent user comments. Moreover, the findings showed that the higher the participants’ level of media trust, the worse the assessment of media-dissonant user comments relative to media-congruent user comments. Normative implications and avenues for future research are discussed.

Trust in the Police: Cross-country Comparisons

2012 ◽  
pp. 24-47
Author(s):  
V. Gimpelson ◽  
G. Monusova
Keyword(s):  
Public Opinion ◽  
Public Attitudes ◽  
Crime Rates ◽  
Authoritarian Regimes ◽  
Data Sets ◽  
The Public ◽  
Positive Attitudes ◽  
Cross Country ◽  
Police Activity

Using different cross-country data sets and simple econometric techniques we study public attitudes towards the police. More positive attitudes are more likely to emerge in the countries that have better functioning democratic institutions, less prone to corruption but enjoy more transparent and accountable police activity. This has a stronger impact on the public opinion (trust and attitudes) than objective crime rates or density of policemen. Citizens tend to trust more in those (policemen) with whom they share common values and can have some control over. The latter is a function of democracy. In authoritarian countries — “police states” — this tendency may not work directly. When we move from semi-authoritarian countries to openly authoritarian ones the trust in the police measured by surveys can also rise. As a result, the trust appears to be U-shaped along the quality of government axis. This phenomenon can be explained with two simple facts. First, publicly spread information concerning police activity in authoritarian countries is strongly controlled; second, the police itself is better controlled by authoritarian regimes which are afraid of dangerous (for them) erosion of this institution.

Video Profile Sebagai Media Penunjang Promosi Pada Sdk Penabur Gading Serpong

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 149-157
Author(s):  
Dewi Immaniar Desrianti ◽  
Giandari Maulani ◽  
Dana Krisdiana
Keyword(s):  
Marketing Strategy ◽  
Research Methods ◽  
Needs Analysis ◽  
Media Production ◽  
Promotional Effort ◽  
The Public ◽  
Adobe Photoshop ◽  
Support Information

The tight competition between schools in the era of globalization today, requires that the school Ivory Serpong Sower SDK to do the marketing strategy as attractive as possible, in order to enhance the new prospective learner interests as well as improve the quality of and professionalism in the management of the school. It is a promotional effort is used to market products or services to the public, so that they are more familiar with or know the product or service being marketed. Current media information and promotions that use the SDK Sower Ivory Serpong still be printed in the form of banners, brochures and more, so there are still many who have not yet learned about SDK Sower Gading Serpong. The purpose of this research is to inform and promote school SDK Sower Ivory Serpong. Based on a needs analysis is required of media promotion in the form of a video profile, to support information and promotion more attractive and effective by using the software Adobe Premier and Adobe Photoshop. Research methods used namely collecting data through observation, interviews and literature studies, Media Production and concept i.e. preproduction, production and postproduction. Through the design of Video media Profile of this SDK Sower Ivory Serpong can better known to many people and attracting parents to enroll his son in schools � SDK Sower Ivory Serpong

Assessing the quality of public health in the Russian Federation and Israel: Main problems and solutions

2020 ◽  
Vol 19 (4) ◽  
pp. 618-632
Author(s):  
A.S. Panchenko
Keyword(s):  
Public Health ◽  
Russian Federation ◽  
Population Based ◽  
The Public ◽  
Disability Adjusted Life ◽  
Problems And Solutions ◽  
The Russian Federation ◽  
Disability Adjusted Life Year ◽  
Practical Recommendations

Subject. The article addresses the public health in the Russian Federation and Israel. Objectives. The focus is on researching the state of public health in Russia and Israel, using the Global Burden of Disease (GBD) project methodology, identifying problem areas and searching for possible ways to improve the quality of health of the Russian population based on the experience of Israel. Methods. The study draws on the ideology of the GBD project, which is based on the Disability-Adjusted Life-Year (DALY) metric. Results. The paper reveals the main causes of DALY losses and important risk factors for cancer for Russia and Israel. The findings show that the total DALY losses for Russia exceed Israeli values. The same is true for cancer diseases. Conclusions. Activities in Israel aimed at improving the quality of public health, the effectiveness of which has been proven, can serve as practical recommendations for Russia. The method of analysis, using the ideology of the GBD project, can be used as a tool for quantitative and comparative assessment of the public health.

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