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CASIA OpenIR

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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;  Hu, Weiming
收藏  |  浏览/下载：26/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Liu, Yabo;  Wang, Jinghua;  Xiao, Linhui;  Liu, Chengliang;  Wu, Zhihao;  Xu, Yong
收藏  |  浏览/下载：19/0  |  提交时间：2024/02/22
Curriculum learning  domain adaptive object detection  location metric  task disentanglement  
Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 4, 页码: 5839-5848
作者:  Qin, Fangbo;  Lin, Shan;  Xu, De
收藏  |  浏览/下载：67/0  |  提交时间：2023/11/17
Feature extraction  Measurement  Task analysis  Imaging  Image segmentation  Prototypes  Training  Contour extraction  deep learning  metric learning  one-shot learning  vision measurement  
UNIT: A unified metric learning framework based on maximum entropy regularization 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 21
作者:  Deng, Huiyuan;  Meng, Xiangzhu;  Deng, Fengxia;  Feng, Lin
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Metric learning  Kernel learning  Nearest-neighbors classification  Semi-supervised learning  Maximum entropy principle  
OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 648, 页码: 18
作者:  Deng, Huiyuan;  Meng, Xiangzhu;  Wang, Huibing;  Feng, Lin
收藏  |  浏览/下载：80/0  |  提交时间：2023/11/16
Multi-metric learning  Alternating direction method  Nearest-neighbor classification  Riemannian manifold  
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载：97/35  |  提交时间：2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：55/24  |  提交时间：2023/08/02
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
Hierarchical multi-view metric learning with HSIC regularization 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 135-148
作者:  Deng, Huiyuan;  Meng, Xiangzhu;  Wang, Huibing;  Feng, Lin
收藏  |  浏览/下载：154/0  |  提交时间：2022/11/14
Metric learning  Multi -view learning  Face verification  Kinship verification  Person re -identification  
SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 22
作者:  Xing, Siyuan;  Dong, Qiulei;  Hu, Zhanyi
收藏  |  浏览/下载：185/0  |  提交时间：2022/07/25
height estimation  semantic segmentation  single aerial image  convolutional neural networks  multi-task learning  deep metric learning  
Adaptively Weighted k-Tuple Metric Network for Kinship Verification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Huang, Sheng;  Lin, Jingkai;  Huangfu, Luwen;  Xing, Yun;  Hu, Junlin;  Zeng, Daniel Dajun
收藏  |  浏览/下载：175/0  |  提交时间：2022/06/10
Measurement  Feature extraction  Task analysis  Faces  Deep learning  Convolutional neural networks  Genetics  Deep learning  kinship verification  metric learning  relation network (RN)  triplet loss