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Titlebook: Cognitive Systems and Signal Processing; 4th International Co Fuchun Sun,Huaping Liu,Dewen Hu Conference proceedings 2019 Springer Nature S

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樓主: Espionage
41#
發(fā)表于 2025-3-28 18:30:21 | 只看該作者
Automatic Analog Pointer Instruments Reading Using Panel Detection and Landmark Localization Networkr algorithms, our scheme can deal with the case in which the instrument is too difficult to read, e.g., there is more than one similar pointer in one panel. Also, our scheme only needs less than 100?ms on a typical laptop for a 512?.?512 image. It is fast enough and can satisfy most requirements in industrial automation.
42#
發(fā)表于 2025-3-28 21:34:28 | 只看該作者
Multi-scale Local Receptive Field Based Online Sequential Extreme Learning Machine for Material Clast highly representative features from complex texture by multi-scale local receptive field. We conduct experiments on the public texture ALOT dataset and MNIST dataset. Experimental results verify the effectiveness of our algorithm and has good generalization performance.
43#
發(fā)表于 2025-3-28 22:58:22 | 只看該作者
A Real-Time Method for Marking the Extent of a Lipid Plaque Based on IV-OCT Imagingipid plaque areas in real-time with better time-efficiency and competitive accuracy during the diagnosis. SSPM is tested on IV-OCT human coronary artery imaging dataset, and the result shows that our method is able to mark suspicious lipid-plaque areas at 91 fps on GPU, or 16 fps on CPU, with an accuracy of 87%.
44#
發(fā)表于 2025-3-29 03:27:21 | 只看該作者
45#
發(fā)表于 2025-3-29 09:19:40 | 只看該作者
Semantik und Programmverifikationsing image segmentation networks such as fully convolution neural networks (FCN). In this paper, we propose a new loss function to tackle the unbalanced data distribution problem. It has shown that the loss function significantly improves the performance of available segmentation networks such as FCN on the lane segmentation task.
46#
發(fā)表于 2025-3-29 11:39:13 | 只看該作者
An Efficient Network for Lane Segmentationsing image segmentation networks such as fully convolution neural networks (FCN). In this paper, we propose a new loss function to tackle the unbalanced data distribution problem. It has shown that the loss function significantly improves the performance of available segmentation networks such as FCN on the lane segmentation task.
47#
發(fā)表于 2025-3-29 17:24:37 | 只看該作者
Conference proceedings 2019ected from 169 submissions. The papers are organized in topical sections on vision and image; algorithms; robotics; human-computer interaction;?deep learning;?information processing and automatic driving..
48#
發(fā)表于 2025-3-29 22:44:58 | 只看該作者
1865-0929 ed and selected from 169 submissions. The papers are organized in topical sections on vision and image; algorithms; robotics; human-computer interaction;?deep learning;?information processing and automatic driving..978-981-13-7982-6978-981-13-7983-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
49#
發(fā)表于 2025-3-30 00:17:37 | 只看該作者
50#
發(fā)表于 2025-3-30 05:11:42 | 只看該作者
Semantik sequentieller Programme,. The eye center localization and gaze estimation were applied to measure the responses of the subjects. The main contribution of the article is that an experimental paradigm was established from a visual engineering perspective. The results showed that this system could analyze the response of the child for NTR accurately.
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