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浏览/检索结果:
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Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 5623-5635
作者:
Wu, Junyi
;
Huang, Yan
;
Gao, Min
;
Gao, Zhipeng
;
Zhao, Jianqiang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/16
Feature extraction
Pedestrians
Mutual information
Body regions
Training
Task analysis
Semantics
Pedestrian attribute recognition
intra-attribute variations
exponential information bottleneck
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:17/0
  |  
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
MonkeyTrail: A scalable video-based method for tracking macaque movement trajectory in daily living cages
期刊论文
ZOOLOGICAL RESEARCH, 2022, 卷号: 43, 期号: 3, 页码: 343-351
作者:
Liu, Meng-Shi
;
Gao, Jin-Quan
;
Hu, Gu-Yue
;
Hao, Guang-Fu
;
Jiang, Tian-Zi
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Movement trajectory tracking
Video-based behavioral analyses
Background subtraction
Virtual empty background
Occlusion
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 1, 页码: 456-473
作者:
Zhang, Lei
;
He, Zhenwei
;
Yang, Yi
;
Wang, Liang
;
Gao, X-B
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/27
Image search
object detection
re-identification
retrieval
deep learning
A Comprehensive Review on Group Activity Recognition in Videos
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
作者:
Li-Fang Wu
;
Qi Wang
;
Meng Jian
;
Yu Qiao
;
Bo-Xuan Zhao
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/05/24
Group activity recognition (GAR)
human activity recognition
scene understanding
video analysis
computer vision
Semi-Supervised Natural Face De-Occlusion
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 1044-1057
作者:
Cai, Jiancheng
;
Han, Hu
;
Cui, Jiyun
;
Chen, Jie
;
Liu, Li
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/12/01
Faces
Face recognition
Generators
Training
Task analysis
Shape
Annotations
Natural face de-occlusion
occlusion-aware
generative adversarial networks
alternating training
Fast Adapting without Forgetting for Face Recognition
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 期号: 暂无, 页码: 暂无
作者:
Liu Hao
;
Zhu Xiangyu
;
Lei Zhen
;
Cao Dong
;
Li Stan Z.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/06/01
Single Exemplar
Domain Incremental Learning
Fast Adapting without Forgetting
Face recognition
Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments
期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 1, 页码: 15
作者:
Niu, Kai
;
Huang, Yan
;
Ouyang, Wanli
;
Wang, Liang
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/10/09
Description-based person re-identification
Multi-granularity image-text alignments
Step training strategy
ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 12, 页码: 2743-2758
作者:
Li, Da
;
Zhang, Zhang
;
Yu, Kai
;
Huang, Kaiqi
;
Tan, Tieniu
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/03/30
Visualization
Surveillance
Task analysis
Streaming media
Computer architecture
Pipelines
Sparks
Intelligent surveillance system
big visual data
distributed system and parallel computing
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 10, 页码: 2333-2348
作者:
Han, Hu
;
Li, Jie
;
Jain, Anil K.
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/12/10
Large-scale tattoo search
joint detection and representation learning
sketch based search
multi-task learning
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