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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
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Curriculum learning
domain adaptive object detection
location metric
task disentanglement
AFCANet: An adaptive feature concatenate attention network for multi-focus image fusion
期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 卷号: 35, 期号: 9, 页码: 22
作者:
Liu, Shuaiqi
;
Peng, Weijian
;
Liu, Yali
;
Zhao, Jie
;
Su, Yonggang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/15
Multi -focus image fusion
Unsupervised training
Adaptive feature concatenate
Attention module
RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence
期刊论文
GRAPHICAL MODELS, 2023, 卷号: 129, 页码: 11
作者:
Hu, Ling
;
Li, Qinsong
;
Liu, Shengjun
;
Yan, Dong-Ming
;
Xu, Haojun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Shape correspondence
Functional maps
Unsupervised learning
Optimal transport
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
期刊论文
NEURAL NETWORKS, 2023, 卷号: 167, 页码: 92-103
作者:
Ding, Yuhe
;
Sheng, Lijun
;
Liang, Jian
;
Zheng, Aihua
;
He, Ran
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/16
Source-free unsupervised domain
adaptation
Pseudo labeling
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:
Zhu, Yanqiao
;
Xu, Yichen
;
Yu, Feng
;
Liu, Qiang
;
Wu, Shu
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  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Cluster-aware self-training and refining
unsupervised learning
graph representation learning
Distinguishing and Matching-Aware Unsupervised Point Cloud Completion
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 5160-5173
作者:
Xiao, Haihong
;
Li YQ(李玉琼)
;
Kang, Wenxiong
;
Wu, Qiuxia
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  |  
浏览/下载:7/0
  |  
提交时间:2023/10/23
Deep learning
point cloud completion
3D vision
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning
期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:
Ma CC(马成丞)
;
Dong WM(董未名)
;
Xu CS(徐常胜)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/01/29
Semi-supervised few-shot learning
few-shot learning
pseudo-labeling
linear regression
low-rank reconstruction
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 799-808
作者:
Dong, Yiting
;
Zhao, Dongcheng
;
Li, Yang
;
Zeng, Yi
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Spiking neural network
Unsupervised
Plasticity learning rule
Brain inspired connection
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:
Yuan, Ruiwen
;
Wang, Junping
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Feature extraction
Sensors
Human activity recognition
Internet of Things
Data models
Sensor phenomena and characterization
Data mining
Activity feature extraction
deep learning
human activity recognition (HAR)
semisupervised learning
From shallow sea to deep sea: research progress in underwater image restoration
期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 24
作者:
Song, Wei
;
Liu, Yaling
;
Huang, Dongmei
;
Zhang, Bing
;
Shen, Zhihao
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/10/07
shallow-sea image restoration
deep-sea image restoration
image formation
physical model
prior
deep learning
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