CK828
发表于 2025-3-21 19:03:59
书目名称Computer Vision –ACCV 2016影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234115<br><br> <br><br>书目名称Computer Vision –ACCV 2016读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234115<br><br> <br><br>
易达到
发表于 2025-3-21 23:01:22
Visual Saliency Detection for RGB-D Images with Generative Modelmodel. The depth feature map is extracted based on superpixel contrast computation with spatial priors. We model the depth saliency map by approximating the density of depth-based contrast features using a Gaussian distribution. Similar to the depth saliency computation, the colour saliency map is c
传染
发表于 2025-3-22 01:05:40
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Lumbar-Spine
发表于 2025-3-22 06:49:20
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声明
发表于 2025-3-22 12:07:00
Generalized Fusion Moves for Continuous Label Optimizationpixel lattices and seek to assign discrete or continuous values (or both) to each pixel such that a combined data term and a spatial smoothness prior are minimized. In this work we propose to minimize difficult energies using repeated generalized fusion moves. In contrast to standard fusion moves, t
不给啤
发表于 2025-3-22 16:31:11
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不给啤
发表于 2025-3-22 18:45:15
phi-LSTM: A Phrase-Based Hierarchical LSTM Model for Image Captioningbe their attributes, and recognize their relationships/interactions. In this paper, we propose a phrase-based hierarchical Long Short-Term Memory (phi-LSTM) model to generate image description. The proposed model encodes sentence as a sequence of combination of phrases and words, instead of a sequen
Nutrient
发表于 2025-3-22 22:56:29
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Demulcent
发表于 2025-3-23 04:21:57
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GLIB
发表于 2025-3-23 06:42:26
Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributesimage is expressed in terms of attributes that are relatively specified between different class pairs. However, for zero-shot learning the authors had assumed a simple Gaussian Mixture Model (GMM) that used the GMM based clustering to obtain the label for an unknown target test example. In this pape