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SCCA-Net: A Novel Network for Image Manipulation Localization Using Split-Channel Contextual Attention 17th

SCCA-Net: A Novel Network for Image Manipulation Localizati...

引用

17th Asian Conference on computer Vision, ACCV 2024

作者： Xiang, Yan Zhao, Kaiqi Yin, Haichang Guangdong Polytechnic of Science and Technology Guangdong Zhuhai519090 China School of Cyberspace Security Shandong University of Political Science and Law Shandong Jinan250014 China

ISBN: (纸本)9789819609628

This paper introduces SCCA-Net, an advanced end-to-end network designed specifically for Image Manipulation Localization (IML). SCCA-Net comprises four critical modules: Split-Channel Contextual Attention (SCCA), Extractor, Encoder, and Decoder. The SCCA module fuses dynamic frequency contextual features and similarity features extracted from RGB feature pyramids of images, overcoming the common shortcomings of existing attention-based IML technologies that typically overlook the frequency adaptation of contextual information. The SCCA module’s pivotal component, the Parallel Dynamic Frequency Aggregator (PDFA), integrates Parallel Low-pass (PL) and Similarity Attention (SA) blocks to merge contextual and similarity vectors. The Extractor produces an RGB feature pyramid, channeling varied frequency features into the SCCA. The Encoder, utilizing Transformer, establishes a robust global feature representation. To reconstruct the predicted mask, the Decoder employs uniquely designed cascaded upsampling-convolution (Up-Conv) blocks. Rigorous testing demonstrates that SCCA-Net surpasses conventional models, achieving F1 score improvements of +14.3% on Coverage and +11.8% on CASIA, matching top performances on NIST2016. SCCA-Net pushes the field’s boundaries and redefines the benchmarks for assessing IML. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image enhancement

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Discussing Uninorms on Bounded Lattices Using Closure and Interior Operators 1

引用

Fuzzy Logic and Technology, and Aggregation Operators 13th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2023, and 12th International Summer School on Aggregation Operators, AGOP 2023

作者： Çaylı, Gül Deniz Department of Mathematics Faculty of Science Karadeniz Technical University Trabzon61080 Turkey

ISBN: (数字)9783031399657

ISBN: (纸本)9783031399640

Uninorms on bounded lattices have recently become a significant area of study. In the present study, we describe two new approaches for creating uninorms on bounded lattices, where some necessary and sufficient conditions are required. These structures use a t-conorm and an interior operator or a t-norm and a closure operator on a bounded lattice. The newly introduced classes of uninorms and the differences between them and already existing classes of uninorms are also illustrated on several examples. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fuzzy logic

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PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment 20th

PMT-IQA: Progressive Multi-task Learning for Blind Image Qu...

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20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023

作者： Pan, Qingyi Guo, Ning Qingge, Letu Zhang, Jingyi Yang, Pei Department of Computer Technology and Application Qinghai University Xining China Center for Statistical Science and Department of Industrial Engineering Tsinghua University Beijing China Department of Computer Science North Carolina A and T State University Greensboro United States

ISBN: (纸本)9789819970247

Blind image quality assessment (BIQA) remains challenging due to the diverse types of distortion and variable image content, which complicates the distortion patterns crossing different scales and aggravates the difficulty of the regression problem for BIQA. However, existing BIQA methods often fail to consider multi-scale distortion patterns and image content, and there has limited research on improving the performance of quality regression models through specific learning strategies. In this paper, we propose a simple yet effective Progressive Multi-Task Image Quality Assessment (PMT-IQA) model, which contains a multi-scale feature extraction module (MS) and a progressive multi-task learning module (PMT), to help the model learn complex distortion patterns and better optimize the regression issue to align with the law of human learning process from easy to hard. To verify the effectiveness of the proposed PMT-IQA model, we conduct experiments on four widely used public datasets, and the experimental results indicate that the performance of PMT-IQA is superior to the comparison approaches, and both MS and PMT modules improve the model’s performance. The source code for this study is available at https://***/pqy000/PMT-IQA. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Image enhancement

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Study on VR science Educational Games Based on Participatory Design and Flow Theory 1

引用

10th International Conference on Learning and Collaboration Technologies (LCT) Held as Part of the 25th International Conference on Human-computer Interaction (HCII)

作者： Zhang, Zhang Xu, Zhiyi East China Univ Sci & Technol Dept Ind Design Shanghai 200237 Peoples R China

ISBN: (数字)9783031345500

ISBN: (纸本)9783031345494;9783031345500

By exploring the possibilities and scientificness of Participatory Design (PD) for children, children can be taught as well as the recipients in the process of collaborative game design. High-tech Virtual Reality (VR) technology can be used to develop popular science games and improve educational experience. Participate in the whole process across the world, obtain the principles, strategies, modes and visual styles of popular science games through PD method, build the process framework of educational game design, use VR technology to enhance user's sense of immersion, sense of cognition and sense of interaction, and complete the development by combining Unity3D engine. The Mental Flow (MF) evaluation model was applied to the test of the game, and the quantitative evaluation model was established. Finally, a set of PD strategies and MF experience testing and evaluation methods for VR popular science educational games are produced, and theoretical basis and practical reference are provided for the development and design of future popular science educational games. PD concept can provide users with real "people-oriented" design output, "edutainment" games can mobilize users to learn knowledge initiative and fun, VR technology for users to create immersive experience, has a positive impact on the MF experience.

关键词： participatory design Educational games Virtual reality MF experience science and technology

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Chatbots and Children with Special Educational Needs Interaction 17th

Chatbots and Children with Special Educational Needs Interac...

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17th International Conference on Universal Access in Human-computer Interaction (UAHCI) part of the 25th International Conference on Human-computer Interaction (HCI)

作者： Torrado, Juan Carlos Bakke, Caroline Gabarron, Elia Ostfold Univ Coll Dept Comp Sci & Commun Halden Norway Ostfold Univ Coll Dept Educ ICT & Learning Halden Norway Norwegian Ctr E Hlth Res Tromso Norway

ISBN: (纸本)9783031358968;9783031358975

Introduction and aim. Chatbots could have a strong potential for competence training, overcoming barriers, and wellbeing management for individuals with special educational needs. We carried out a review to describe the existing knowledge on design characteristics, and user involvement in research on chatbots related to individuals with special educational needs. Methods. We searched for publications on the topic in ACM Digital Library, Web of science, PubMed, ERIC, Education Source, and proceedings from conferences on special needs education, and on health informatics. Results. A total of 9 studies were included in this review. Most of the studies used authoring tools to implement the chatbots or parts of them. Smartphones, tablets and PCs were the most common target devices for chatbots. End-users participated in the research mostly as experimental subjects to test the chatbot. Only one study involved participants as co-designers. Conclusions. Research on chatbots for individuals with special education seems to be in earlier stages. More high-quality research is needed, involving individuals with special educational needs in all stages of development and incorporating evidence-based training strategies.

关键词： Chatbots Human-computer Interaction Special Needs Education Autism Spectrum Disorder ADHD

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Enhancing Safety During Surgical Procedures with computer Vision, Artificial Intelligence, and Natural Language Processing 11th

Enhancing Safety During Surgical Procedures with Computer Vi...

引用

11th Pacific-Rim Symposium on Image and Video Technology (PSIVT)

作者： Stephen, Okeke Minh Nguyen Auckland Univ Technol Dept Comp Sci & Software Engn 6 St Paul St Auckland New Zealand

ISBN: (纸本)9789819703753;9789819703760

Administering the incorrect substances during procedures can lead to undesired outcomes. Anesthetists, especially when fatigued, distracted, or under stressful conditions, are at risk of such oversights. The conventional manual method for identifying, verifying, and preparing such substances has inherent challenges. Addressing these issues is paramount for healthcare professionals and those under their care. This study explores the application of computer vision and artificial intelligence techniques to refine the processes of selection, verification, preparation, and dispensing in procedure settings. The advanced method initiates with scene text detection, extraction, and matching models to discern inscriptions on labels. These inscriptions are subsequently matched with a pre-established database of item attributes using the token set ratio, Levenshtein, and Jaccard distance algorithms. These algorithms provide similarity scores, with the item having the top confidence score being identified as the appropriate one. A groundbreaking facet of this approach is the incorporation of a generalized Ukkonen algorithm, upper bound theory, and branch pruning algorithm. These elements offer an enhanced and more accurate adaptation of the traditional Levenshtein algorithm. Utilizing this method has the potential to drastically diminish errors in procedures and elevate safety measures.

关键词： Surgical Procedures computer Vision Artificial Intelligence Natural Language Processing

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A Learnable Graph Convolutional Neural Network Model for Relation Extraction 1

引用

28th China Conference on Information Retrieval, CCIR 2022

作者： Xu, Jinling Chen, Yanping Qin, Yongbin Huang, Ruizhang State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China

ISBN: (数字)9783031247552

ISBN: (纸本)9783031247545

Relation extraction is the task of extracting the semantic relationships between two named entities in a sentence. The task relies on semantic dependencies relevant to named entities. Recently, graph convolutional neural networks have shown great potential in supporting this task, wherein dependency trees are usually adopted to learn semantic dependencies between entities. However, the requirement of external toolkits to parse sentences poses a problem, owing to them being error prone. Furthermore, entity relations and parsing structures vary in semantic expressions. Therefore, manually designed rules are required to prune the structure of the dependency trees. This study proposed a novel learnable graph convolutional neural network model (L-GCN) that directly encodes every word of a sentence as nodes of a graph neural network. Then, the L-GCN uses a learnable adjacency matrix to encode dependencies between nodes. The model offers the advantage of automatically learning high-order abstract representations of the semantic dependencies between words. Moreover, a fusion module was designed to aggregate the global and local semantic structure information of sentences. Further, the proposed L-GCN was evaluated on the ACE 2005 English dataset and Chinese Literature Text Corpus. The experimental results confirmed the effectiveness of L-GCN in learning the semantic dependencies of a relation instance. Moreover, it clearly outperformed previous dependency-tree-based models. © 2023, Springer Nature Switzerland AG.

关键词： Neural network models

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An Emotion-Aware Human-computer Negotiation Model Powered by Pretrained Language Model 17th

An Emotion-Aware Human-Computer Negotiation Model Powered by...

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17th International Conference on Knowledge science, Engineering and Management (KSEM)

作者： Luo, Xudong Deng, Zhiqi Sun, Kaili Lin, Pingping Guangxi Normal Univ Sch Comp Sci & Engn Guilin 541004 Guangxi Peoples R China Minist Educ Key Lab Educ Blockchain & Intelligent Technol Guilin 541004 Guangxi Peoples R China Guangxi Key Lab Multisource Informat Min & Secur Guilin 541004 Guangxi Peoples R China

ISBN: (纸本)9789819755004;9789819755011

The growth of e-commerce has led to increasing online transactions, inevitably requiring online negotiations. However, manual negotiation cannot meet the growing need. As a result, automated negotiation attracts lots of researchers. However, most work of this kind is on computer-computer negotiation and a little on human-computer one. Moreover, even the research on human-computer negotiation tends to ignore the emotional factors of human negotiators. So, it cannot deal with human emotions during a negotiation, which may significantly influence its outcome. To this end, this paper proposes a novel human-computer negotiation model. First, we fine-tune the ERNIE pretrained language model on a dataset we create. Then, the negotiating agent uses it to understand the intents and emotions of human dialogue in negotiation. Finally, the agent responds to humans according to the sentiment-related negotiation strategy we designed in this paper. Our extensive experiments show the effectiveness of our model.

关键词： Automated Negotiation Sentiment Analysis Dialogue System Pre-trained language model Natural language processing

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Vehicle Appearance Dataset 7th

Vehicle Appearance Dataset

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7th Chinese Conference on Pattern Recognition and computer Vision

作者： Li, Baojun Liu, Zeyang Xu, Ziang Li, Jianuo Wang, Bo Song, Mingliang Dalian Univ Technol Dalian Peoples R China Wuhan Univ Sci & Technol Wuhan Peoples R China

ISBN: (纸本)9789819786916;9789819786923

Aesthetic evaluation of vehicle appearance design is an important part of the vehicle design process. How to conduct a high-confidence, rapid, objective and systematic evaluation of a given vehicle appearance is of great significance to vehicle designers, consumers, decision makers and other groups. Big data-driven deep learning approach to automated, reliable, multi-dimensional and systematic evaluation of vehicle appearance relies on high-quality datasets. There is a lack of datasets for exterior styling of automobiles. And the previous methods have the subjective problems of results, limitation of evaluation dimensions, and lower consumer involvement. Aiming at the above problems, this paper combines intelligent mechanisms such as quantitative scoring and perceptual imagery evaluation of vehicle appearance from the perspectives of vehicle users, styling experts, etc., and the main research contents are as follows: Create a large-scale and multi-dimensional vehicle appearance datasets (VAD), with near 140000 images, which is merged by three datasets: MVVA, VAS and VAPIE. Multi-view vehicle appearance image dataset (MVVA) contains 2093 automobile models and 78590 images, with small samples in the aesthetic evaluation of vehicle appearance design;Vehicle appearance scoring data set (VAS) with 19610 images is collected, cleaned and preprocessed online then labeled by the quantitative scoring and perceptual imagery evaluation of the two dimensions of users and experts;And vehicle appearance perceptual imagery evaluation dataset (VAPIE) with 40017 images based on the perspectives of the users and the experts is labeled from the image data. Our dataset is now available on Github: https://***/KDafu/Vehicle-Appearance-Dataset.

关键词： Vehicle Appearance Vehicle Dataset computer Vision Appearance Evaluation

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A Situation Analysis Process in computer-Generated Forces Team Behavior Within Air Combat Simulations Under Risk and Uncertainty: Concept and First Implementations 10th

A Situation Analysis Process in Computer-Generated Forces Te...

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10th International Conference on Modelling and Simulation for Autonomous Systems

作者： Ruther, Philippe Strohal, Michael Stuetz, Peter Univ Bundeswehr Munich Inst Flight Syst Werner Heisenberg Weg 39 D-85577 Neubiberg Germany

ISBN: (纸本)9783031713965;9783031713972

Due to the increasing number of entities and more powerful sensors involved in beyond-visual-range air combat missions, the amount of situational information to be considered by aircrews is growing exponentially. To enable pilots to handle and effectively utilize these volumes of information, it is necessary to provide them with appropriate training in simulators. Here, the further development of the simulated opposing forces is of particular importance to confront pilots with constantly new challenges. In order to sufficiently represent enemy forces and their team behavior, the information processing procedures in modern airborne warfare must be transferred towards the computer-generated forces (CGF) behavior models. To meet these demands, conducting a comprehensive situation analysis is essential. Therefore, in this paper, we present a conceptual approach for a situation analysis that is utilized later on to facilitate tactical behavior planning on the adversary side in training simulators or threat evaluations. In our proposed concept, the situation analysis process is partitioned into three sequential segments. It begins with the collection and sorting of situation data, incorporating subtasks such as identifying the enemy's intent and addressing data uncertainties. As a subsequent step, a risk analysis is described to identify potential risks and to evaluate their potential impact for the fighter team. Subsequently, we employ methods to evaluate the probability of these risks and combine them to calculate an impact analysis. Finally, we explore methods that perform a situation assessment, which serves as the foundation for CGF tactical behavior planning. In the conclusion, we outline first implementations in our simulation frame.

关键词： Situational Analysis computer Generated Forces Risk Uncertainty Threat Intent Air Combat

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