Sheng Ran

Multi-Scenario Evaluation of an Enhanced YOLOv8s-cls Model for Food Image Classification

Sheng Ran

As the demand for intelligent dietary management continues to grow, food recognition technology shows great application prospects of areas like mobile platforms. In tackling the essential challenge of food image classification, the You Only Look Once (YOLO)v8s-cls architecture is augmented with the …

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Improving generalization ability of deep-learning-based ODE solvers using continuous dependence

Guojie Li, Sheng Ran, Wuyue Yang, Liu Hong

Inspired by the well-known mathematical statements on the continuous dependence of solutions to ordinary differential equations on initial values and parameters, we make a non-trivial extension of the physics-informed neural networks by incorporating additional information on the continuous dependence of solutions (abbreviated …

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SDBC: A Novel and Effective Self-Distillation Backdoor Cleansing Approach

Sheng Ran, Baolin Zheng, Mingwei Sun

Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, which only need to poison a small portion of samples to control the behavior of the target model. Moreover, the escalating stealth and power of backdoor attacks present not only significant challenges to …

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A Oil Painting Style Migration Algorithm Based on Convolutional Neural Network

Jiang Min, Sheng Ran, De Zhu, Yunsheng Duan et autres

Algorithm for Automatic Recognition of Red Tide Algal Images Captured by Flow Cytometry

Sheng Ran

The red tide is a global marine natural disaster.In order to predict and forecast the occurrence of red tide,with the technology of flow cytometry,micro-image and image processing,a real-time harmful algae monitoring system was developed.A method based on background subtraction was used to …

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Recognition of Hand-Written Characters by a Multi-Layered Competitive Net

Shuichi Kurogi, Toyoaki Nishida, Sheng Ran