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Titlebook: Advances in Visual Computing; 12th International S George Bebis,Richard Boyle,Tobias Isenberg Conference proceedings 2016 Springer Internat

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樓主: Clinton
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發(fā)表于 2025-3-23 11:21:41 | 只看該作者
Improved Aircraft Recognition for Aerial Refueling Through Data Augmentation in Convolutional Neuralexception. In some domains, training images are expensive or difficult to collect. When training image availability is limited, researchers naturally turn to synthetic methods of generating new imagery for training. We evaluate several methods of training data augmentation in the context of improvin
12#
發(fā)表于 2025-3-23 17:26:59 | 只看該作者
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發(fā)表于 2025-3-23 20:54:41 | 只看該作者
Real-Time Multi-object Tracking with Occlusion and Stationary Objects Handling for Conveying Systemsto automated conveying systems. Inspired by tracking methods applied to video surveillance, we follow an on-line tracking-by-detection approach based on background subtraction. The logistics applications turn out to be a challenging scenario for existing methods. This challenge is twofold: First, co
14#
發(fā)表于 2025-3-24 02:15:05 | 只看該作者
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發(fā)表于 2025-3-24 04:01:31 | 只看該作者
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發(fā)表于 2025-3-24 09:20:21 | 只看該作者
17#
發(fā)表于 2025-3-24 11:23:23 | 只看該作者
Conference proceedings 2016obotics; medical imaging; virtual reality; computer vision as a service; visual perception and robotic systems; and biometrics. Part II (LNCS 9475): applications; visual surveillance; computer graphics; and virtual reality..
18#
發(fā)表于 2025-3-24 15:52:46 | 只看該作者
19#
發(fā)表于 2025-3-24 21:38:55 | 只看該作者
https://doi.org/10.5822/978-1-61091-523-6ur experiments, the error rate of 2D/3D registration using our machine learning similarity metric (52.29) shows significant improvement when compared to a Euclidean metric (152.54). The proposed similarity metric is versatile and could be applied to a wide range of 2D/3D registration.
20#
發(fā)表于 2025-3-25 01:04:12 | 只看該作者
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