Tyler
发表于 2025-3-21 18:29:02
书目名称Computer Vision -- ACCV 2014影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234013<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/ifr/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234013<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/atr/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234013<br><br> <br><br>书目名称Computer Vision -- ACCV 2014读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234013<br><br> <br><br>
Offensive
发表于 2025-3-21 21:34:28
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Evocative
发表于 2025-3-22 03:36:03
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myriad
发表于 2025-3-22 06:37:49
EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verificationons at the right locations and scales, for identity based matching of face images. It performs well in the presence of occlusions, by avoiding the occluded regions and selecting the next best visible regions. We show quantitatively, by experiments on the standard benchmark dataset Labeled Faces in t
雕镂
发表于 2025-3-22 09:09:35
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污点
发表于 2025-3-22 16:12:38
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programmingthe procedural space of shapes derived from a grammar. Instead we formulate parsing as a linear binary program which we solve using Dual Decomposition. The algorithm produces plausible approximations of globally optimal segmentations without grammar sampling. It yields state-of-the-art performance o
污点
发表于 2025-3-22 17:29:42
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犬儒主义者
发表于 2025-3-23 00:37:54
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolutiono recently proposed methods, Anchored Neighborhood Regression (ANR) and Simple Functions (SF), provide state-of-the-art quality performance. Moreover, ANR is among the fastest known super-resolution methods. ANR learns sparse dictionaries and regressors anchored to the dictionary atoms. SF relies on
macular-edema
发表于 2025-3-23 02:26:57
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哎呦
发表于 2025-3-23 08:28:59
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