人工合成
发表于 2025-3-21 19:39:13
书目名称Computer Vision – ECCV 2012影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234161<br><br> <br><br>书目名称Computer Vision – ECCV 2012读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234161<br><br> <br><br>
indices
发表于 2025-3-21 21:58:33
Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spacesow that we are able to speed up inference in these models around 10-30 times with respect to competing graph-cut/move-making methods, as well as maintaining or improving accuracy in all cases. We show results on PascalVOC-10 for object class segmentation, and Leuven for joint object-stereo labeling.
bonnet
发表于 2025-3-22 02:28:08
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CHASM
发表于 2025-3-22 05:42:12
A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matchingserving boundary sharpness while keeping regions smooth. We also evaluate our method on a wide range of challenging real-world videos. Experimental results show that our method outperforms existing methods in temporal consistency.
STAT
发表于 2025-3-22 09:54:13
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Annotate
发表于 2025-3-22 13:59:21
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Annotate
发表于 2025-3-22 20:44:36
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刀锋
发表于 2025-3-22 22:51:10
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MONY
发表于 2025-3-23 04:24:16
Vassilis K. Fouskas,Bülent Gökayproximate solutions even for submodular functions. We show experimentally that our implementation of the Generic Cuts algorithm is more than an order of magnitude faster than all algorithms including reduction based whose outputs on submodular potentials are near optimal.
Omnipotent
发表于 2025-3-23 06:47:34
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