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Feature Disentanglement Network: Multi-Object Tracking Needs More Differentiated Features 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 3, 页码: 22
作者:  Guo, Wen;  Quan, Wuzhou;  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
收藏  |  浏览/下载：28/0  |  提交时间：2024/03/26
Multiple object tracking  Feature disentanglement network  one-shot tracking  feature enhancement  
CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
收藏  |  浏览/下载：43/0  |  提交时间：2024/02/20
Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)  
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
收藏  |  浏览/下载：20/0  |  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  
Multi-modal spatial relational attention networks for visual question answering 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 13
作者:  Yao, Haibo;  Wang, Lipeng;  Cai, Chengtao;  Sun, Yuxin;  Zhang, Zhi;  Luo, Yongkang
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/22
Visual question answering  Spatial relation  Attention mechanism  Pre -training strategy  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：36/11  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 11
作者:  Zhu, Wenjun;  Liu, Yanghong;  Wang, Peng;  Zhang, Mengyi;  Wang, Tian;  Yi, Yang
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Trajectory prediction  Hierarchical policy  Graph neural networks  
Semantic-Context Graph Network for Point-Based 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6474-6486
作者:  Dong, Shuwei;  Kong, Xiaoyu;  Pan, Xingjia;  Tang, Fan;  Li, Wei;  Chang, Yi;  Dong, Weiming
收藏  |  浏览/下载：93/0  |  提交时间：2023/12/21
3D object detection  graph neural networks  information entanglement  
Debiased Video-Text Retrieval via Soft Positive Sample Calibration 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 5257-5270
作者:  Zhang, Huaiwen;  Yang, Yang;  Qi, Fan;  Qian, Shengsheng;  Xu, Changsheng
收藏  |  浏览/下载：58/0  |  提交时间：2023/11/16
debias  soft positive samples  
Omnidirectional Depth Estimation With Hierarchical Deep Network for Multi-Fisheye Navigation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 12
作者:  Su, Xiaojie;  Liu, Shimin;  Li, Rui
收藏  |  浏览/下载：73/0  |  提交时间：2023/11/17
Feature extraction  Cameras  Estimation  Task analysis  Navigation  Costs  Semantics  Omnidirectional depth estimation  hierarchical deep network  multi-fisheye navigation system  
IAN: Instance-Augmented Net for 3D Instance Segmentation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 7, 页码: 4354-4361
作者:  Wan, Zihao;  Hu, Jianhua;  Zhang, Haojian;  Wang, Yunkuan
收藏  |  浏览/下载：66/0  |  提交时间：2023/11/17
Three-dimensional displays  Feature extraction  Point cloud compression  Solid modeling  Semantics  Noise measurement  Aggregates  Deep learning for visual perception  RGB-D perception  data sets for robotic vision