CN113435509B - 基于元学习的小样本场景分类识别方法及系统 - Google Patents
基于元学习的小样本场景分类识别方法及系统 Download PDFInfo
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CN114155397B (zh) * | 2021-11-29 | 2023-01-03 | 中国船舶重工集团公司第七0九研究所 | 一种小样本图像分类方法及系统 |
CN114239753B (zh) * | 2022-02-23 | 2022-07-22 | 山东力聚机器人科技股份有限公司 | 可迁移的图像识别方法及装置 |
CN114612708B (zh) * | 2022-02-23 | 2022-12-09 | 广州市玄武无线科技股份有限公司 | 商品识别方法、装置、终端设备及计算机可读介质 |
CN114627383B (zh) * | 2022-05-13 | 2022-08-02 | 南京航空航天大学 | 一种基于度量学习的小样本缺陷检测方法 |
CN115424053B (zh) * | 2022-07-25 | 2023-05-02 | 北京邮电大学 | 小样本图像识别方法、装置、设备及存储介质 |
CN116403071B (zh) * | 2023-03-23 | 2024-03-26 | 河海大学 | 基于特征重构的少样本混凝土缺陷检测方法及装置 |
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CN111858991A (zh) * | 2020-08-06 | 2020-10-30 | 南京大学 | 一种基于协方差度量的小样本学习算法 |
CN112052899A (zh) * | 2020-09-03 | 2020-12-08 | 上海无线电设备研究所 | 一种基于生成对抗网络的单幅舰船目标sar图像生成方法 |
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CN109559276B (zh) * | 2018-11-14 | 2020-09-08 | 武汉大学 | 一种基于质量评价和特征统计的图像超分辨率重建方法 |
CN111461244A (zh) * | 2020-04-09 | 2020-07-28 | 武汉大学 | 一种基于SimpleShot的One-Shot学习新方法 |
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CN112052899A (zh) * | 2020-09-03 | 2020-12-08 | 上海无线电设备研究所 | 一种基于生成对抗网络的单幅舰船目标sar图像生成方法 |
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Two-Stage Model-Agnostic Meta-Learning With Noise Mechanism for One-Shot Imitation;Ziye Hu,and etc;《 IEEE Access》;20201006;第8卷;第182720-182730页 * |
医学影像人工智能辅助诊断的样本增广方法;魏小娜等;《计算机应用》;20190910(第9期);第2558-2567页 * |
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