太平间 发表于 2025-3-21 16:58:24
书目名称Computer Vision – ACCV 2020影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234127<br><br> <br><br>书目名称Computer Vision – ACCV 2020读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234127<br><br> <br><br>neutral-posture 发表于 2025-3-21 22:44:44
Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network tasks. However, these methods are usually computationally expensive, which constrains their application in mobile scenarios. In addition, most of the existing methods rarely take full advantage of the intermediate features which are helpful for restoration. To address these issues, we propose a modincisive 发表于 2025-3-22 01:59:29
Second-Order Camera-Aware Color Transformation for Cross-Domain Person Re-identificationD remains a challenging task. The performance of ReID model trained on the labeled dataset (source) is often inferior on the new unlabeled dataset (target), due to large variation in color, resolution, scenes of different datasets. Therefore, unsupervised person ReID has gained a lot of attention du灯丝 发表于 2025-3-22 06:28:27
CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation of video compressive sensing. Firstly, explicit multi-hypothesis motion compensation is applied in our network to extract correlation information of adjacent frames (as shown in Fig. .), which improves the recover performance. And then, a residual module further narrows down the gap between reconstFRAUD 发表于 2025-3-22 10:49:41
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Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallaxtructing ghosting-free HDR images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion, disparity, and occlusions, leading to visible artifacts using existing methods. In this paper, we propose a Pyramidal Alignment and Masked merging netwo人工制品 发表于 2025-3-23 09:07:28
Low-Light Color Imaging via Dual Camera Acquisitiono devise a dual camera system using a high spatial resolution (HSR) monochrome camera and another low spatial resolution (LSR) color camera for synthesizing the high-quality color image under low-light illumination conditions. The key problem is how to efficiently learn and fuse cross-camera informa