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浏览/检索结果:
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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
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
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
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  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Curriculum learning
domain adaptive object detection
location metric
task disentanglement
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
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/16
Multi-metric learning
Alternating direction method
Nearest-neighbor classification
Riemannian manifold
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
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Metric learning
Kernel learning
Nearest-neighbors classification
Semi-supervised learning
Maximum entropy principle
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
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  |  
浏览/下载:2/0
  |  
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
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
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  |  
浏览/下载:8/0
  |  
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
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  |  
浏览/下载:3/0
  |  
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
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  |  
浏览/下载:17/0
  |  
提交时间:2022/11/14
Metric learning
Multi -view learning
Face verification
Kinship verification
Person re -identification
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
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  |  
浏览/下载:14/0
  |  
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
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
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  |  
浏览/下载:40/0
  |  
提交时间:2022/07/25
height estimation
semantic segmentation
single aerial image
convolutional neural networks
multi-task learning
deep metric learning
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