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自动化研究所 [27]

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	Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification 期刊论文 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 11 作者: Dai, Mofan; Xing, Shuai; Xu, Qing; Wang, Hanyun; Li, Pengcheng 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/02/26 Multimodal remote sensing data Meta-learning Few-shot learning Cross-modality feature learning
	Meta-MMFNet: Meta-learning-based Multi-model Fusion Network for Micro-expression Recognition 期刊论文 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 20 作者: Gong, Wenjuan; Zhang, Yue; Wang, Wei; Cheng, Peng; Gonzalez, Jordi 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/12/21 Feature fusion model fusion meta-learning micro-expression recognition
	Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文 IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15 作者: Zhang, Yu; Zuo, Xin; Zheng, Xuxu; Gao, Xiaoyong; Wang, Bo 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/02/22 Few-shot learning Metric-based learning framework Softmax loss improvement
	Zero-Shot Predicate Prediction for Scene Graph Parsing 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 3140-3153 作者: Li, Yiming; Yang, Xiaoshan; Huang, Xuhui; Ma, Zhe; Xu, Changsheng 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/17 Deep learning zero-shot scene graph
	Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification 期刊论文 NEUROCOMPUTING, 2022, 卷号: 493 作者: Li, Yibing; Ma, Zuchang; Gao, Lisheng; Wu, Yichen; Xie, Fei 收藏 \| 浏览/下载：7/0 \| 提交时间：2022/12/23 Relation classification Few-shot learning Hybrid attention Loss BERT
	Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 4543-4555 作者: Guo, Yurong; Du, Ruoyi; Li, Xiaoxu; Xie, Jiyang; Ma, Zhanyu 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/07/19 Semantics Measurement Feature extraction Correlation Training Strain Learning systems Few-shot image classification metric-learning calibrated class centers query-guided mask
	Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15 作者: Lin, Xixun; Li, Zhao; Zhang, Peng; Liu, Luchen; Zhou, Chuan 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/02/07 Task analysis Kernel Training Decoding Stochastic processes Predictive models Computational modeling Few-shot learning graph classification graph neural networks (GNNs) neural process (NP)
	Incremental few-shot object detection via knowledge transfer 期刊论文 PATTERN RECOGNITION LETTERS, 2022, 卷号: 156, 页码: 67-73 作者: Feng, Hangtao; Zhang, Lu; Yang, Xu; Liu, Zhiyong 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/07/25 Machine learning Convolutional neural networks Transfer learning Incremental few-shot object detection
	Decoupled Metric Network for Single-Stage Few-Shot Object Detection 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12 作者: Lu, Yue; Chen, Xingyu; Wu, Zhengxing; Yu, Junzhi 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/06 Object detection Feature extraction Training Head Task analysis Shape Measurement Computer vision deep learning few-shot learning object detection
	Application of Artificial Intelligence in Diagnosis of Craniopharyngioma 期刊论文 FRONTIERS IN NEUROLOGY, 2022, 卷号: 12, 页码: 16 作者: Qin, Caijie; Hu, Wenxing; Wang, Xinsheng; Ma, Xibo 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/03/17 craniopharyngioma tumor diagnosis machine learning deep learning

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