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检索条件"任意字段=2024 International Conference on Computer Vision and Image Processing, CVIP 2024"

共 15494 条记录，以下是91-100 订阅

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TextCAVs: Debugging vision Models Using Text 9th

TextCAVs: Debugging Vision Models Using Text

引用

27th international conference on Medical image Computing and computer Assisted Intervention (MICCAI)

作者： Nicolson, Angus Gal, Yarin Noble, J. Alison Univ Oxford Inst Biomed Engn Oxford England Univ Oxford Dept Comp Sci OATML Oxford England

ISBN: (纸本)9783031776090;9783031776106

Concept-based interpretability methods are a popular form of explanation for deep learning models which provide explanations in the form of high-level human interpretable concepts. These methods typically find concept activation vectors (CAVs) using a probe dataset of concept examples. This requires labelled data for these concepts - an expensive task in the medical domain. We introduce TextCAVs: a novel method which creates CAVs using vision-language models such as CLIP, allowing for explanations to be created solely using text descriptions of the concept, as opposed to image exemplars. This reduced cost in testing concepts allows for many concepts to be tested and for users to interact with the model, testing new ideas as they are thought of, rather than a delay caused by image collection and annotation. In early experimental results, we demonstrate that TextCAVs produces reasonable explanations for a chest x-ray dataset (MIMIC-CXR) and natural images (imageNet), and that these explanations can be used to debug deep learning-based models. Code: ***/AngusNicolson/textcavs.

关键词： Interpretability Concepts Text Explanations Chest X-rays

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Color Enhanced Network for image Dehazing 7th

Color Enhanced Network for Image Dehazing

引用

7th Chinese conference on Pattern Recognition and computer vision

作者： Nie, Yongsha Anhui Univ Anhui Prov Int Joint Res Ctr Adv Technol Med Imag Sch Comp Sci & Technol Hefei 230601 Peoples R China

ISBN: (纸本)9789819786848;9789819786855

image dehazing is an important and challenging task in image processing. Existing dehazing methods often encounter color distortion in the dehazed results. To address this issue, in this paper, we propose a novel approach named Color Enhanced Dehazing network (CED). It consists of two main branches: a dehazing branch and a color reconstruction branch. Initially, we employ Fast Fourier Transform to separate the low-frequency sub-image from the hazy image, which contains substantial color information. Alongside inputting the original hazy image into the dehazing branch, we concurrently feed the low-frequency sub-image into the color reconstruction branch. This allows us to extract and reconstruct corresponding color information to augment the dehazing process. To thoroughly fuse the information from two branches, we design a Selective Spatial-Channel adjustment fusion module (SSC) for the feature fusion across different branches. Extensive experiments on benchmark datasets well demonstrate the effectiveness and superiority of the proposed method in the image dehazing.

关键词： image dehazing Low-frequency Selective spatial-channel adjustment

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Integrated Global Semantics and Local Details for image-Text Retrieval 7th

Integrated Global Semantics and Local Details for Image-Text...

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8th Asia Pacific Web and Web-Age Information Management Joint international conference on Web and Big Data

作者： Lu, Bo Gan, Lin Zhao, Tianbao Wu, Xiaojin Zhong, Tianyuan Gao, Ying Duan, Xiaodong Dalian Minzu Univ Dalian 116650 Peoples R China

ISBN: (纸本)9789819600540;9789819600557

image-text retrieval is a critical challenge for understanding the semantic relationship between vision and language domains. Previous studies have focused on analyzing either global or local features, neglecting the intrinsic connections between these two levels of granularity. In addition, current mainstream methods attempt to construct a unified semantic space by aggregating the weighted features of different segments, aiming to enhance the interaction with different granularities of information. However, these methods may be disrupted by irrelevant segments, leading to semantic misalignment. To address these challenges, we propose a Bidirectional Focused Attention and Global-Local Matching Fusion Network (BFAGL). The proposed method well integrates the similarity matching of global semantic contexts with the precision of local detail analysis, ensuring that global semantic alignment is achieved without compromising critical local information. Furthermore, it incorporates bi-directional focal attention into the local matching process to promote a nuanced understanding of the contextual semantic relationships of images and text. Experiments on the Flickr30K and MS-COCO datasets demonstrate the state-of-the-art performance of BFAGL in image-text retrieval tasks.

关键词： image-Text Retrieval Global-Local Matching Bidirectional Focused Attention

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A Novel Graph Attention Network for Underwater Object Detection 16

A Novel Graph Attention Network for Underwater Object Detect...

引用

2024 16th international conference on Graphics and image processing, ICGIP 2024

作者： Wang, Xinyu Wang, QingZheng Liu, Wenhui Wang, Xingqin Mai, Zengwei North China University of Water Resources and Electric Power China

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

Underwater object detection is an important computer vision task that has been widely used in marine life identification and tracking. However, problems such as low contrast conditions, occlusion condition, unbalanced light condition and small dense objects bring a series of challenges to underwater object detection. Considering these challenges, several methods have been proposed to extract features more efficiently. Attention mechanism has been proven powerful in feature extraction. However, the attention mechanism ignores the internal structure of the captured object, and conventional regular patch division is too coarse. Thus, we apply graph attention mechanisms to irregular patches and propose an Irregular-patch Graph Attention Network (IPGA). Firstly, the superpixel segmentation method is used to segment the image to reduce noise. Secondly, the global graph and local graph are constructed using clustering methods to obtain internal structures. Finally, to handle occlusion and small objects, a distinctive feature interaction (FIA) module is proposed to fuse information from global and local graph. To demonstrate the effectiveness of the proposed method, we conduct comprehensive evaluations on four challenging underwater datasets DUO, Brackish, TrashCan and WPBB. Experimental results demonstrate that the proposed IPGA achieves superior performance on three challenging underwater datasets. © 2025 SPIE.

关键词： image segmentation

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Optimization of the online collaboration platform: an event queue management algorithm based on debounce and throttle techniques 4

Optimization of the online collaboration platform: an event ...

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4th international conference on computer vision, Application, and Algorithm, CVAA 2024

作者： Xue, Tianbao Lan, Quanxiang School of Mathematics and Computer Science Panzhihua University Sichuan Panzhihua China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Against the backdrop of accelerating digital transformation, online collaboration platforms have become indispensable tools for remote work and learning. However, with the increase in the number of users, the problem of high concurrency event processing has become increasingly prominent. Therefore, this paper proposes an event queue management algorithm (EQA-DT) based on debouncing and throttling techniques to optimize the efficiency of event processing in high concurrency scenarios. The EQA-DT algorithm uses a debounce technique to control the frequency of event capture, ensuring that only the last event triggered by the user is recorded within a short period of time. It also uses a throttling technique to periodically push events in the queue to the server, limiting the frequency of events being pushed to the server. We compared the EQA-DT algorithm with traditional event processing methods in an experimental setting. The results showed that in high concurrency scenarios, the EQA-DT algorithm is superior to traditional event processing methods in terms of reducing server pressure, reducing the length of the event queue, and improving system response speed. This algorithm provides an effective solution for improving the performance of online collaboration platforms and lays the foundation for future research in this area. © 2025 SPIE.

关键词： Concurrency control

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xLSTM-FER: Enhancing Student Expression Recognition with Extended vision Long Short-Term Memory Network 7th

xLSTM-FER: Enhancing Student Expression Recognition with Ext...

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8th Asia Pacific Web and Web-Age Information Management Joint international conference on Web and Big Data

作者： Huang, Qionghao Chen, Jili Zhejiang Normal Univ Zhejiang Key Lab Intelligent Educ Technol & Appli Jinhua Zhejiang Peoples R China

ISBN: (纸本)9789819600540;9789819600557

Student expression recognition has become an essential tool for assessing learning experiences and emotional states. This paper introduces xLSTM-FER, a novel architecture derived from the Extended Long Short-Term Memory (xLSTM), designed to enhance the accuracy and efficiency of expression recognition through advanced sequence processing capabilities for student facial expression recognition. xLSTM-FER processes input images by segmenting them into a series of patches and leveraging a stack of xLSTM blocks to handle these patches. xLSTMFER can capture subtle changes in real-world students' facial expressions and improve recognition accuracy by learning spatial-temporal relationships within the sequence. Experiments on CK+, RAF-DF, and FERplus demonstrate the potential of xLSTM-FER in expression recognition tasks, showing better performance compared to state-of-the-art methods on standard datasets. The linear computational and memory complexity of xLSTM-FER make it particularly suitable for handling high-resolution images. Moreover, the design of xLSTM-FER allows for efficient processing of non-sequential inputs such as images without additional computation.

关键词： Facial Expression Recognition Student Academic Performance Memory Network vision xLSTM

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Research on the Application of Intelligent Writing Teaching System Based on computer vision and Natural Language processing in Higher Vocational English 24

Research on the Application of Intelligent Writing Teaching ...

引用

5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Wen, Liuchun Guangdong Polytechnic of Water Resources and Electric Engineering Guangdong Guangzhou China

ISBN: (纸本)9798400709999

In the context of vocational English teaching, writing skills are crucial for students' professional communication ***, traditional teaching methods often face challenges such as delayed feedback and insufficient *** the development of artificial intelligence technologies, the integration of computer vision (CV) and natural language processing (NLP) into writing education provides a novel solution to these *** study explores the application of a CV- and NLP-based intelligent writing assistance system in vocational English writing *** system enhances grammar correction, semantic understanding, and automated feedback, significantly improving students' writing performance while reducing teachers' *** experimental evaluation demonstrated that the system effectively improved writing accuracy, logical clarity, and overall learning *** findings indicate that AI-driven educational tools have great potential in transforming traditional language teaching practices. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Apprentices

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4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on Medical image Computing and computer Assisted Intervention, MICCAI 2024

4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in ...

引用

4th Diabetic Foot Ulcers Grand Challenge, DFUC 2024 held in Conjunction 27th international conference on Medical image Computing and computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031808708

The proceedings contain 10 papers. The special focus in this conference is on Diabetic Foot Ulcers Grand Challenge. The topics include: Diabetic Foot Ulcer Unsupervised Segmentation with vision Transformers Attention;self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation;multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning;SSL Based Encoder Pretraining for Segmenting a Heterogeneous Chronic Wound image Database with Few Annotations;multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning;a Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024;CDe: Focus on the Color Differences in Diabetic Foot images;diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods.

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Research on Robot Correction Technology Based on Laser vision 24

Research on Robot Correction Technology Based on Laser Visio...

引用

2024 international conference on Industrial Automation and Robotics, IAR 2024

作者： Li, Yongtao Zhao, Xue Department of Product Research and Development Suzhou Nuclear Power Research Institute Co. Ltd. Jiangsu Suzhou China

ISBN: (纸本)9798400711268

To ensure the continuity of the thickness measurement process and the accuracy of data when using the electromagnetic ultrasonic thickness measurement module for automatic thickness measurement of membrane water-cooled wall tubes, a set of automatic correction control system for wall climbing robots based on laser vision technology was designed. Firstly, the electromagnetic ultrasonic module was fixed on the water-cooled wall climbing robot and a line of laser was emitted towards the water-cooled wall. High-definition cameras were used to capture laser images and image processing flow was designed to extract image feature points. Then, the coordinate values of the feature points in the image were used as control variables to ensure that the thickness measurement module followed the wall climbing robot along the axis of the water-cooled wall tube, thereby keeping the lifting height of the electromagnetic ultrasonic thickness measurement module unchanged. Finally, the correction method is tested under two lighting conditions, namely in the laboratory and in the boiler of a thermal power plant. The average deviation between the measured thickness data of the water-cooled wall and the actual value was within±1%, and the thickness measurement process was continuous and stable, which proved the effectiveness, robustness and practicality of the method. © 2024 Copyright held by the owner/author(s).

关键词： Thermoelectric power plants

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Research on image optimization of graphic design based on 3D laser vision technology 2

Research on image optimization of graphic design based on 3D...

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2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yang, Dianqing Liu, Renjing Visual Design College Keimyung University Dalseo-gu Daegu704-701 Korea Republic of

ISBN: (纸本)9781510689053

To prevent image distortion, this paper explores methods for enhancing and optimizing graphic design images using 3D laser vision technology. The process involves collecting graphic design image data, mapping 3D laser information onto the surface of the image to form an information map, and utilizing this data for locally weighted complexity processing. A histogram of the graphic design image is constructed, followed by scanning and grayscale transformation to eliminate noise. The image histogram is then segmented using a block-based local enhancement method to achieve the optimization and enhancement of the graphic design image. Experimental results show that under different noise standard deviations, the average peak signal-to-noise ratio (PSNR) of the proposed method is 36.62 dB, and the average structural similarity index (SSIM) is 0.9526. This method effectively reduces noise and enhances the visual quality of graphic design images, improving the ability of the human eye to discriminate information in these images. © 2025 SPIE.

关键词： image enhancement

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