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Titlebook: Image Analysis and Processing – ICIAP 2023; 22nd International C Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proceedings 202

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發(fā)表于 2025-3-21 19:18:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Image Analysis and Processing – ICIAP 2023
副標題22nd International C
編輯Gian Luca Foresti,Andrea Fusiello,Edwin Hancock
視頻videohttp://file.papertrans.cn/462/461374/461374.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image Analysis and Processing – ICIAP 2023; 22nd International C Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proceedings 202
描述This two-volume set?LNCS?14233-14234?constitutes the refereed proceedings of the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, during September 11–15, 2023..The 85 full papers presented together with 7 short papers were carefully reviewed and selected from 144 submissions.?The conference focuses on?video?analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision...?..
出版日期Conference proceedings 2023
關鍵詞Pattern Recognition; Machine learning; Deep learning; Computer vision; Multimedia; Image Analysis: Detect
版次1
doihttps://doi.org/10.1007/978-3-031-43153-1
isbn_softcover978-3-031-43152-4
isbn_ebook978-3-031-43153-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:36:27 | 只看該作者
,Augmentation Based on?Artificial Occlusions for?Resilient Instance Segmentation,otated data. Additionally, we provide two new datasets for instance segmentation including the semantic class firearm, for security applications. By applying the proposed augmentation technique on three datasets, the performance of instance segmentation methods is improved as indicated by the experimental results.
板凳
發(fā)表于 2025-3-22 02:37:10 | 只看該作者
,Obstacle Avoidance and?Interaction in?Extended Reality: An Approach Based on?3D Object Detection,ent rendering. Our system can detect specific classes of objects, estimate their position and extent, and create a virtual counterpart for each one in an immersive virtual scene. We describe the pipeline of the system and show that our system allows real-time interaction with virtual objects blended with real ones.
地板
發(fā)表于 2025-3-22 06:45:42 | 只看該作者
,Early Detection of?Hip Periprosthetic Joint Infections Through CNN on?Computed Tomography Images, detection of the hip prosthesis infections analyzing Computed Tomography images. The proposed solution is based on a novel ResNeSt Convolutional Neural Network architecture trained on samples from more than 100 patients. The solution showed exceptional performance in detecting infections with an experimental high level of accuracy and F-score.
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發(fā)表于 2025-3-22 10:24:42 | 只看該作者
Conference proceedings 2023iew geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision...?..
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發(fā)表于 2025-3-22 16:08:17 | 只看該作者
0302-9743 g; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; and robot vision...?..978-3-031-43152-4978-3-031-43153-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-22 22:59:01 | 只看該作者
,Buffer-MIL: Robust Multi-instance Learning with?a?Buffer-Based Approach,odel. An attention mechanism is then used to compare all the instances against the buffer, to find the most critical ones in a given slide. We evaluate Buffer-MIL on two publicly available WSI datasets, Camelyon16 and TCGA lung cancer, outperforming current state-of-the-art models by 2.2% of accuracy on Camelyon16.
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發(fā)表于 2025-3-23 03:50:21 | 只看該作者
,Quasi-Online Detection of?Take and?Release Actions from?Egocentric Videos,ake/release action recognition and outperforms methods for online detection of action start on THUMOS’14 by . when an average latency of 2.19. is allowed. Code and supplementary material are available at ..
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