CLIP
发表于 2025-3-21 20:01:38
书目名称Video Analytics. Face and Facial Expression Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0982898<br><br> <br><br>书目名称Video Analytics. Face and Facial Expression Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0982898<br><br> <br><br>
choroid
发表于 2025-3-21 21:25:30
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motor-unit
发表于 2025-3-22 00:24:47
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织物
发表于 2025-3-22 06:35:42
Three-Stream Convolution Networks After Background Subtraction for Action Recognition,as two important branches of deep learning, Two-Stream relies on optical flow with complex computation and 3D convolution network is difficult for training. In this paper, we propose a novel Three-Stream Convolution networks after feature extraction for action recognition. For feature, we introduce
paleolithic
发表于 2025-3-22 12:31:25
Scene Text Detection with a SSD and Encoder-Decoder Network Based Method,twork, which detects text in scene images with one forward propagation and a standard non-maximum suppression subsequently. In order to eliminate few scene background mistaken by Text Localization Neural Network, we propose a Text Verification Model based on the encoder-decoder network. Thus, precis
散布
发表于 2025-3-22 13:51:26
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CURB
发表于 2025-3-22 17:48:31
Evaluation of Group Convolution in Lightweight Deep Networks for Object Classification,ated residual transformation (defined in ResNeXt that secured 2nd place in the ILSVRC 2016 classification task) for lightweight deep networks. The major contributions to this paper include (i) evaluation of group convolution, (ii) study on the impact of skip connection and various width for lightwei
oxidize
发表于 2025-3-22 23:53:08
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淘气
发表于 2025-3-23 02:16:39
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异端邪说下
发表于 2025-3-23 07:50:08
Conference proceedings 2019nd International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018...The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal wit