机构

• 自动化研究所 [7]
• 地理科学与资源研究所 [2]
• 科技战略咨询研究院 [1]
• 数学与系统科学研究院 [1]
• 合肥物质科学研究院 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [13]

发表日期

• 2024 [2]
• 2022 [7]
• 2021 [2]
• 2020 [1]

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Real-Time Road Boundary Detection Approach in Surface Mine Based on Meta Random Forest 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1989-2001 作者:  Ai, Yunfeng;  Song, Ruiqi;  Huang, Chongqing;  Cui, Chenglin;  Tian, Bin   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/07/22 Roads  Point cloud compression  Laser radar  Random forests  Metalearning  Surface treatment  Feature extraction  Road boundary detection  Point Cloud  meta learning  random forest  few shot classification  autonomous driving   SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few-Shot Image Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 3469-3480 作者:  Peng, Fang;  Yang, Xiaoshan;  Xiao, Linhui;  Wang, Yaowei;  Xu, Changsheng   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/07/03 Few-shot  image classification  vision-language models   Enhance prototypical networks with hybrid attention and confusing loss function for few-shot relation classification 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 493 作者:  Li, Yibing;  Ma, Zuchang;  Gao, Lisheng;  Wu, Yichen;  Xie, Fei   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/12/23 Relation classification  Few-shot learning  Hybrid attention  Loss  BERT   Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 期刊论文  OAI收割 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：32/0  |  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)   Conversion of infrared ocean target images to visible images driven by energy information 期刊论文  OAI收割 MULTIMEDIA SYSTEMS, 2022, 页码: 12 作者:  Chen, Changlin;  Chao, Xuewei   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/09/21 Deep learning  Few-shot learning  Classification  Metric learning   Conversion of infrared ocean target images to visible images driven by energy information 期刊论文  OAI收割 MULTIMEDIA SYSTEMS, 2022, 页码: 12 作者:  Chen, Changlin;  Chao, Xuewei   |  收藏  |  浏览/下载：9/0  |  提交时间：2022/09/21 Deep learning  Few-shot learning  Classification  Metric learning   Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2022, 页码: 1-1 作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/06/14 Few-shot Learning  3D measurement  defect detection  image classification   Structural Attention Enhanced Continual Meta-Learning for Graph Edge Labeling Based Few-Shot Remote Sensing Scene Classification 期刊论文  OAI收割 Remote Sensing, 2022, 期号: 14, 页码: 485 作者:  Li FM(李非墨);  Li SB(李帅博);  Fan XX(樊鑫鑫);  Li X(李雄);  Chang HX(常红星)   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/04/06 remote sensing scene classification  few shot learning  continual meta-learning  graph transformer   A metrics-based meta-learning model with meta-pretraining for industrial knowledge graph construction 期刊论文  OAI收割 COMPUTERS IN INDUSTRY, 2022, 卷号: 143 作者:  Liu, Yangshengyan;  Gu, Fu;  Wu, Yijie;  Gu, Xinjian;  Guo, Jianfeng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/05/30 Industrial knowledge graph  Few-shot text classification  Meta-learning  Deep metric learning  Attribute-based fusion   Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 期号: 1, 页码: 7 作者:  Wang, Rui-Qi;  Zhang, Xu-Yao;  Liu, Cheng-Lin;  Liu CL(刘成林);  Zhang XY(张煦尧)   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/01/27 Task analysis  Testing  Training  Prototypes  Learning systems  Adaptation models  Pattern recognition  Domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning