可扩大
发表于 2025-3-21 16:04:57
书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234203<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234203<br><br> <br><br>
forthy
发表于 2025-3-21 21:16:15
Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data SetSMIL). We map real infant movements to the SMIL model with realistic shapes and textures, and generate RGB and depth images with precise ground truth 2D and 3D joint positions. We evaluate our data set with state-of-the-art methods for 2D pose estimation in RGB images and for 3D pose estimation in d
黄瓜
发表于 2025-3-22 02:58:33
http://reply.papertrans.cn/24/2343/234203/234203_3.png
向外才掩饰
发表于 2025-3-22 06:59:05
http://reply.papertrans.cn/24/2343/234203/234203_4.png
resilience
发表于 2025-3-22 10:08:24
http://reply.papertrans.cn/24/2343/234203/234203_5.png
过度
发表于 2025-3-22 16:18:06
http://reply.papertrans.cn/24/2343/234203/234203_6.png
过度
发表于 2025-3-22 18:34:35
DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regressionclassification. We highlight how a model, that is separately trained to regress fingertip in conjunction with a classifier trained on limited classification data, would perform better over . models. We also propose a dataset of 10 egocentric pointing gestures designed for AR applications for testing
GRAVE
发表于 2025-3-22 22:21:40
http://reply.papertrans.cn/24/2343/234203/234203_8.png
Pseudoephedrine
发表于 2025-3-23 03:05:25
http://reply.papertrans.cn/24/2343/234203/234203_9.png
Mri485
发表于 2025-3-23 07:08:57
http://reply.papertrans.cn/24/2343/234203/234203_10.png