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DeepETPicker: Fast and accurate 3D particle picking for cryo-electron tomography using weakly supervised deep learning
期刊论文
Nature Communications, 2024, 卷号: 15, 期号: 1, 页码: 2090
作者:
Guole Liu
;
Tongxin Niu
;
Mengxuan Qiu
;
Yun Zhu
;
Fei Sun
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/06/11
Cryo-electron tomography
particle picking
deep learning
weakly supervised learning
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:
Yu-Cheng Chou
;
Bowen Li
;
Deng-Ping Fan
;
Alan Yuille
;
Zongwei Zhou
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/04/23
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen
A Novel Divide and Conquer Solution for Long-term Video Salient Object Detection
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 684-703
作者:
Yun-Xiao Li
;
Cheng-Li-Zhao Chen
;
Shuai Li
;
Ai-Min Hao
;
Hong Qin
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  |  
浏览/下载:0/0
  |  
提交时间:2024/07/18
Video salient object detection
background consistency analysis
weakly supervised learning
long-term information
background shift
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15996-16012
作者:
Song, Chunfeng
;
Ouyang, Wanli
;
Zhang, Zhaoxiang
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/26
Proposals
Uncertainty
Semantics
Semantic segmentation
Annotations
Shape
Adaptation models
Box-driven masking
filling rate
uncertainty mining
weakly supervised segmentation
Vectorized Evidential Learning for Weakly-Supervised Temporal Action Localization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15949-15963
作者:
Gao, Junyu
;
Chen, Mengyuan
;
Xu, Changsheng
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浏览/下载:0/0
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提交时间:2024/03/26
Uncertainty
Location awareness
Reliability
Videos
Noise measurement
Estimation
Deep learning
Weakly-supervised learning
temporal action localization
evidential deep learning
uncertainty estimation
Toward Practical Weakly Supervised Semantic Segmentation via Point-Level Supervision
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 20
作者:
Fan, Junsong
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Weakly supervised learning
Semantic segmentation
Deep learning
Memory-Based Cross-Image Contexts for Weakly Supervised Semantic Segmentation
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 5, 页码: 6006-6020
作者:
Fan, Junsong
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Image segmentation
Semantics
Training
Heating systems
Context modeling
Task analysis
Computational modeling
Weakly-supervised learning
semantic segmentation
image relationship
cross-image context
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6074-6093
作者:
Meng, Jingke
;
Zheng, Wei-Shi
;
Lai, Jian-Huang
;
Wang, Liang
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/11/14
Training
Cameras
Labeling
Probes
Visualization
Annotations
Loss measurement
Person re-identification
weakly supervised person re-identification
visual surveillance
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022
作者:
Li, Bing
;
Chen, Jie
;
Huang, Zhixiang
;
Wang, Haitao
;
Lv, Jianming
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/12/23
Vehicles
Accidents
Feature extraction
Deep learning
Data models
Convolutional neural networks
Computational modeling
Unsupervised deep learning
driver distraction
fine-grained
comparative learning
stop-gradient
multilayer perceptron
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:
Zhao, Mengbiao
;
Feng, Wei
;
Yin, Fei
;
Zhang, Xu-Yao
;
Liu, Cheng-Lin
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  |  
浏览/下载:32/0
  |  
提交时间:2022/09/19
Costs
Annotations
Training
Labeling
Detectors
Data models
Benchmark testing
Mixed-supervised learning
scene text detection
weak supervision forms
expectation-maximization algorithm
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