bradycardia
发表于 2025-3-21 18:33:04
书目名称Computer Vision – ECCV 2024影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0242327<br><br> <br><br>书目名称Computer Vision – ECCV 2024读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0242327<br><br> <br><br>
Outshine
发表于 2025-3-21 22:41:33
,Unsupervised Multi-modal Medical Image Registration via Invertible Translation,d local attention mechanism. Additionally, we design a novel barrier loss function based on Normalized Mutual Information to impose constraints on the registration network, which enhances the registration accuracy. The superior performance of INNReg is demonstrated through experiments on two public
Hangar
发表于 2025-3-22 03:38:25
,Functional Transform-Based Low-Rank Tensor Factorization for Multi-dimensional Data Recovery,a general FLRTF-based multi-dimensional data recovery model. Experimental results, including video frame interpolation/extrapolation, MSI band interpolation, and MSI spectral super-resolution tasks, substantiate that FLRTF has superior performance as compared with representative data recovery method
explicit
发表于 2025-3-22 05:20:46
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尖酸一点
发表于 2025-3-22 09:08:25
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faddish
发表于 2025-3-22 13:41:58
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faddish
发表于 2025-3-22 18:57:05
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Efflorescent
发表于 2025-3-23 01:16:26
,High-Precision Self-supervised Monocular Depth Estimation with Rich-Resource Prior, the depth. Experimental results demonstrate that our model outperform other single-image model and can achieve comparable or even better performance than models with rich-resource inputs, only using low-resolution single-image input.
Biomarker
发表于 2025-3-23 03:18:12
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SUE
发表于 2025-3-23 08:13:42
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