Baleful
发表于 2025-3-21 16:33:15
书目名称Computer Vision – ECCV 2018影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234184<br><br> <br><br>书目名称Computer Vision – ECCV 2018读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234184<br><br> <br><br>
率直
发表于 2025-3-21 23:04:23
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evasive
发表于 2025-3-22 01:08:57
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead V in synthetic environments. However, model-free DRL models do not consider the dynamics in the real-world environments, and they often fail to generalize to new scenes. In this paper, we take a radical approach to bridge the gap between synthetic studies and real-world practices—We propose a novel,
唤起
发表于 2025-3-22 07:52:55
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-languageverse auxiliary information has been utilized to improve the visual feature learning. In this paper, we propose to exploit natural language description as additional training supervisions for effective visual features. Compared with other auxiliary information, language can describe a specific perso
deadlock
发表于 2025-3-22 10:04:29
Learning 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional NetworksLH) where at each grid location, we store multiple instances of height maps, thereby representing 3D shape detail that is hidden behind several layers of occlusion. We provide a novel view merging method for combining view dependent information (Eg. MLH descriptors) from multiple views. Because of t
neuron
发表于 2025-3-22 14:02:20
A Geometric Perspective on Structured Light CodingHamiltonian SL coding, a novel family of SL coding schemes that can recover 3D shape with high precision, with only a small number (as few as three) of images. We establish structural similarity between popular discrete (binary) SL coding methods, and Hamiltonian coding, which is a continuous coding
neuron
发表于 2025-3-22 20:14:46
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Ingenuity
发表于 2025-3-22 21:44:53
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愤怒事实
发表于 2025-3-23 01:52:23
Super-Resolution and Sparse View CT Reconstructionedded in 3D volumes. To reconstruct such structures at resolutions below the Nyquist limit of the CT image sensor, we devise a new 3D structure tensor prior, which can be incorporated as a regularizer into more traditional proximal optimization methods for CT reconstruction. As a second, smaller con
Barter
发表于 2025-3-23 05:48:16
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