珍珠无
发表于 2025-3-21 16:22:58
书目名称Computer Vision -- ACCV 2014影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234014<br><br> <br><br>书目名称Computer Vision -- ACCV 2014读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234014<br><br> <br><br>
险代理人
发表于 2025-3-21 21:51:26
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Iatrogenic
发表于 2025-3-22 03:48:06
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VOK
发表于 2025-3-22 05:24:15
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OTHER
发表于 2025-3-22 09:43:53
A High Performance CRF Model for Clothes Parsing,riors for each garment as well as similarities between segments, and symmetries between different human body parts. We demonstrate the effectiveness of our approach on the Fashionista dataset [.] and show that we can obtain a significant improvement over the state-of-the-art.
相信
发表于 2025-3-22 14:41:54
https://doi.org/10.1007/978-1-4899-6036-8ely define the common-object labels. We then use cooperative cut to segment the common objects according to the common-object labels. Experimental results demonstrate that the proposed method outperforms the state-of-the-art co-segmentation methods in the segmentation accuracy of the common objects in the images.
相信
发表于 2025-3-22 20:12:25
Distribution and economic importance,hich improves the performance significantly. Furthermore, we train an efficient network in a multi-task way which can do age estimation, gender classification and ethnicity classification well simultaneously. The experiments on MORPH Album 2 illustrate the superiorities of the proposed multi-scale CNN over other state-of-the-art methods.
Nuance
发表于 2025-3-22 22:23:10
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Host142
发表于 2025-3-23 01:35:47
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温顺
发表于 2025-3-23 09:16:16
Unsupervised Image Co-segmentation Based on Cooperative Game,ely define the common-object labels. We then use cooperative cut to segment the common objects according to the common-object labels. Experimental results demonstrate that the proposed method outperforms the state-of-the-art co-segmentation methods in the segmentation accuracy of the common objects in the images.