瘦削
发表于 2025-3-21 17:48:06
书目名称Computer Vision - ACCV 2014 Workshops影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234002<br><br> <br><br>书目名称Computer Vision - ACCV 2014 Workshops读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234002<br><br> <br><br>
somnambulism
发表于 2025-3-21 21:54:09
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Assault
发表于 2025-3-22 02:37:35
https://doi.org/10.1057/9781137517173rs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.
勋章
发表于 2025-3-22 07:27:02
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–DOX
发表于 2025-3-22 08:44:41
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pantomime
发表于 2025-3-22 16:35:23
Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encodingrs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.
pantomime
发表于 2025-3-22 18:56:07
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Tidious
发表于 2025-3-22 23:59:34
Hand Detection and Tracking in Videos for Fine-Grained Action Recognitionbjects. We validate our method of detecting and tracking hands on VideoPose2.0 dataset and apply our method of classifying actions to the playing-instrument group of UCF-101 dataset. Experimental results show the effectiveness of our approach.
grandiose
发表于 2025-3-23 04:20:46
Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalizationmate nearest neighbor search than LSH. By distributing the online learning into the simultaneous localization and mapping (SLAM) process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be successfully recovered in real time even there are tens of thousands of landmarks in the map.
Incorruptible
发表于 2025-3-23 06:14:45
Linnaeus and the Four Corners of the WorldWe compare the performance of the proposed motion boundary trajectory approach with other state-of-the-art approaches, e.g., trajectory based approach, on a number of human action benchmark datasets (YouTube, UCF sports, Olympic Sports, HMDB51, Hollywood2 and UCF50), and found that the proposed approach gives improved recognition results.