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Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 期号: 0, 页码: 1045 - 1058
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Ruisheng Wang;  Xiaopeng Zhang
Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：8/2  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：33/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning  
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
收藏  |  浏览/下载：32/0  |  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  
Uncertainty-Aware Dual-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: 15896-15911
作者:  Chen, Mengyuan;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：26/0  |  提交时间：2024/03/26
Uncertainty  Background noise  Task analysis  Location awareness  Measurement uncertainty  Interference  Predictive models  Weakly-supervised temporal action localization  evidential deep learning  uncertainty estimation  
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Gao, Jiaqi;  Huang, Zhizhong;  Lei, Yiming;  Shan, Hongming;  Wang, James Z.;  Wang, Fei-Yue;  Zhang, Junping
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/22
Crowd counting  feature pyramid  ranking  semi-supervised learning  
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)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：117/26  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction  
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 10, 页码: 2924-2935
作者:  Bian, Gui-Bin;  Zhang, Li;  Chen, He;  Li, Zhen;  Fu, Pan;  Yue, Wen-Qian;  Luo, Yu-Wen;  Ge, Pei-Cong;  Liu, Wei-Peng
收藏  |  浏览/下载：127/0  |  提交时间：2023/12/21
Optical flow  Surgery  Instruments  Estimation  Task analysis  Videos  Motion estimation  Computer-assisted surgery  motion estimation  optical flow  self-supervised learning  surgical images  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：47/1  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
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：56/0  |  提交时间：2023/11/17
Weakly supervised learning  Semantic segmentation  Deep learning  
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Song, Zengjie;  Zhang, Zhaoxiang
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17
Feature fusion  multimodal learning  predictive coding (PC)  self-supervised learning  sound source separation