TOUT 发表于 2025-3-21 19:20:25
书目名称Industrial Crops影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0463974<br><br> <br><br>书目名称Industrial Crops读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0463974<br><br> <br><br>Cholesterol 发表于 2025-3-21 21:53:47
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Lizz Kezzy de Morais,Marcelo Sfeir de Aguiar,Paulo de Albuquerque e Silva,Tassiano Maxuell Marinho Cunderstandings. Data-driven approaches, such as deep neural networks, can deal with the ambiguity inherent in this task to some extent, but it is extremely expensive to acquire the temporal annotations of a large-scale video dataset. To leverage the plentiful web-crawled videos to improve the perforliaison 发表于 2025-3-22 07:21:30
Toshihiko Yamadaental problems of computer vision. Previous intrinsic decomposition approaches either address the problem in a fully supervised manner, or require multiple images of the same scene as input. These approaches are less desirable in practice, as ground truth intrinsic images are extremely difficult toOVER 发表于 2025-3-22 11:35:35
Ian Shield,William Macalpine,Steve Hanley,Angela Karpral intervals in videos that are likely to contain an action. Previous methods can be divided to two groups: sliding window ranking and actionness score grouping. Sliding windows uniformly cover all segments in videos, but the temporal boundaries are imprecise; grouping based method may have more pr撤退 发表于 2025-3-22 14:50:24
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Freeborn G. Jewett, which specify classes that observations do . belong to. Let . and . be the true and complementary labels, respectively. We first model the annotation of complementary labels via transition probabilities ., where . is the number of classes. Previous methods implicitly assume that ., are identical,失误 发表于 2025-3-23 06:18:10
Brad M. Ostranderdestrian detection and occlusion estimation by regressing two bounding boxes to localize the full body as well as the visible part of a pedestrian respectively. For this purpose, we learn a deep convolutional neural network (CNN) consisting of two branches, one for full body estimation and the other