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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：兰州理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Remarnet: Conjoint relation and margin learning for small-sample image classification 期刊论文 IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 4, 页码: 1569-1579 作者:  Li, Xiaoxu;  Yu, Liyun;  Yang, Xiaochen;  Ma, Zhanyu;  Xue, Jing-Hao 收藏  |  浏览/下载：8/0  |  提交时间：2021/06/03 Deep learning  Image classification  Sampling  Classification mechanism  Competitive performance  Discriminative features  Discriminative power  Fully connected networks  Novel neural network  State-of-the-art methods  State-of-the-art performance   ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 4, 页码: 1569-1579 作者:  Li, Xiaoxu;  Yu, Liyun;  Yang, Xiaochen;  Ma, Zhanyu;  Xue, Jing-Hao 收藏  |  浏览/下载：6/0  |  提交时间：2021/06/03 Training  Prototypes  Neural networks  Feature extraction  Task analysis  Deep learning  Adaptation models  Small-sample learning  deep neural network  relation learning  discriminative feature learning   Small-sample image classification method of combining prototype and margin learning 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者:  Li, Xiaoxu;  Yu, Liyun;  Cao, Jie;  Chang, Dongliang;  Ma, Zhanyu 收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15 Classification (of information)  Deep neural networks  Image classification  Large dataset  Learning systems  Neural networks  Classification methods  Ensemble learning  Ensemble methods  Large-scale datasets  Prototype and margin learning  Prototype learning  Small sample datum  Small samples   Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 5, 页码: 4204-4212 作者:  Li, Xiaoxu;  Yu, Liyun;  Chang, Dongliang;  Ma, Zhanyu;  Cao, Jie 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/15 Cross-entropy loss  fine-grained vehicle classification  deep neural networks   Softmax Cross Entropy Loss with Unbiased Decision Boundary for Image Classification 会议论文 作者:  Cao, Jie;  Su, Zhe;  Yu, Liyun;  Chang, Dongliang;  Li, Xiaoxu 收藏  |  浏览/下载：7/0  |  提交时间：2019/11/15 image classification  neural networks  softmax cross entropy loss  decision boundary