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under review in 国 家 知 识 产 权 局, 2023
本发明属于图像识别与人机交互技术领域, 涉及手绘流程草图的识别及其计算机可编辑标准格式的生成, 具体涉及手绘场景下的图像识别与智能转化方法、系统及计算机可读介质。
Recommended citation: 蔡建峰. (2023). "手绘场景下的图像识别与智能转化方法、系统及计算机可读介质" 国家知识产权局.
reviewed in Multidisciplinary Digital Publishing Institute Electronics, 2023
This paper proposes the Flowmind2digital method and hdFlowmind dataset to address the convertion of hand-drawn flowchart/mindmap.
Recommended citation: Cai Jianfeng. (2024). "Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach." arXiv preprint arXiv: 2401.03742, 2024. http://arxiv.org/abs/2401.03742
under review in International Society for Photogrammetry and Remote Sensing, 2023
This paper proposes a Heterogeneous Network based on Contrastive Learning (HCLNet). HCLNet aims to learn high-level representation from unlabeled PolSAR data for few-shot classification according to multi-features.
Recommended citation: Cai Jianfeng. (2024). "Contrastive Learning-Based Heterogeneous Network for PolSAR Land Cover Classification." arXiv preprint arXiv: 2403.19902, 2024. https://arxiv.org/abs/2403.19902
completed in GitHub and Paperwithcode, 2024
The Code Reproduction of the paper: Transcribing Natural Languages for the Deaf via Neural Editing Programs.
Recommended citation: Cai Jianfeng. (2024). " Don't need the reference format, just use it. Support Open Source 🤗 !" Open.
Published:
I participated in the 2022 years National Undergraduate Mathmatical Modeling Contest, chose the topic of B, and finally was awarded as the Second Price.
Published:
I participated in the 2022 years National Undergraduate Mathmatical Contest, and finally was awarded as the First Price.
Undergraduate, Artifical Intelligence Turing Class, the School of Artifical Intelligence, Xidian University, 2020
I completed my undergraduate studies in Xidian University from 2020 to 2024.