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Research on Infrared Target Motion Detection Based on Artificial Compound Eye 基于人工复眼的红外目标运动检测研究
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122010
飞燕 樊
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引用次数: 0
Recent Progress in Semantic Image Segmentation 语义图像分割研究进展
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.121007
婧婧 汤
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引用次数: 1
Liquid Refractive Index Measurement Based on Digital Image Processing 基于数字图像处理的液体折射率测量
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122018
怡林 李
In order to measure the refractive index of transparent liquid quickly and accurately, a liquid refractive index measurement method based on digital image processing is proposed. Based on the principle of dynamic measurement based on experiment, this method theoretically derives the expression of liquid refractive index based on digital processing. For different kinds of transparent liquids, only one front image of the device is needed to obtain the refractive index of the liquid to be measured. The method is applied to the refractive index measurement of three common transparent liquids: water, peanut oil and 53˚ liquor at 20˚C. The results show that the average
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引用次数: 0
Few-Shot Learning Method Based on Meta-Learning and Location Information 基于元学习和位置信息的少镜头学习方法
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122020
水利 张
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引用次数: 0
Video Super-Resolution Based on Enhanced Feature Alignment with Recurrent Structure 基于循环结构增强特征对齐的视频超分辨率
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123022
相丞 黄
Unlike single image super-resolution (SISR)
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引用次数: 0
Deep Transfer Learning-Based Waste Classification Research 基于深度迁移学习的垃圾分类研究
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123029
皓元 封
To address the problems of poor manual detection environment, error-prone, difficulty and low efficiency of garbage classification, a method of domestic garbage classification using deep transfer learning is proposed. Firstly, image datasets for garbage classification are constructed while data augmentation, secondly, deep convolutional neural networks ResNeXt and MobileNetV2 are built to fine-tune the network transfer parameters to suit the garbage classification task, and finally, the effects of network freezing layers and learning rate on the network structure caused by different magnitudes are explored under the convolutional neural networks based on deep migra-封皓元
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引用次数: 0
Connector Defect Detection Based on Multi-Scale Prototype Residual Feature Fusion 基于多尺度原型残差特征融合的连接器缺陷检测
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.123032
克林 程
Defect detection is an important part of industrial production, and efficient defect detection me-程克林
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引用次数: 0
Research on Fall Detection Method Based on Multi-Feature and SVM 基于多特征和支持向量机的跌倒检测方法研究
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122009
宏睿 王
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引用次数: 0
Research on the Practicability of Human Motion Recognition Based on Machine Learning 基于机器学习的人体运动识别的实用性研究
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122016
浩宸 严
At present, online and offline hybrid teaching has become a new trend in education. As far as
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引用次数: 0
A Skeleton-Based Action Recognition with Spatiotemporal Attention Depth Enhance Differential Graph Convolution 基于骨架的时空注意深度增强微分图卷积动作识别
Pub Date : 2023-01-01 DOI: 10.12677/jisp.2023.122019
仲轩 姬
Spatiotemporal convolution neural network is one of the mainstream methods of action recogni-姬仲轩
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引用次数: 0
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图像与信号处理
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