LEVEE 发表于 2025-3-21 19:18:16
书目名称Image Analysis and Processing – ICIAP 2022影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0461371<br><br> <br><br>书目名称Image Analysis and Processing – ICIAP 2022读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0461371<br><br> <br><br>misanthrope 发表于 2025-3-21 22:45:45
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0302-9743 iew geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc. .978-3-031-06429-6978-3-031-06430-2Series ISSN 0302-9743 Series E-ISSN 1611-3349Aspiration 发表于 2025-3-22 08:06:20
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A Strong Geometric Baseline for Cross-View Matching of Multi-person 3D Pose Estimation from Multi-vion, a novel non-deep learning and parameter-free algorithm is developed to this end, which is only based on geometrical cues (i.e. reprojection errors). This is shown to achieve perfect precision and recall figures on a challenging 102-person benchmark.共同生活 发表于 2025-3-22 15:22:58
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U Can’t (re)Touch This – A Deep Learning Approach for Detecting Image Retouchingxperiment tries to distinguish all ten classes at once..Overall, the first experiment achieves an accuracy of over 99% for most classes, and the second experiments a total accuracy of roughly 88%. Finally, we analyze, why some of the classes have lower accuracies.Lipoma 发表于 2025-3-23 08:45:35
Deepfake Style Transfer Mixture: A First Forensic Ballistics Study on Synthetic Imagesnerative architecture for style transfer. Moreover, in order to address and study accurately forensic ballistics on deepfake images, some mathematical properties of style-transfer operations were investigated.