中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共36条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载：57/21  |  提交时间：2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 32, 期号: 6, 页码: 3880-3894
作者:  Li, Zhenbang;  Shi, Yaya;  Gao, Jin;  Wang, Shaoru;  Li, Bing;  Liang, Pengpeng;  Hu, Weiming
Adobe PDF(4397Kb)  |  收藏  |  浏览/下载：53/27  |  提交时间：2024/06/21
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：69/0  |  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  
Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：82/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 17
作者:  Meng, Siqiang;  Zhang, Congxuan;  Shi, Qi;  Chen, Zhen;  Hu, Weiming;  Lu, Feng
收藏  |  浏览/下载：112/0  |  提交时间：2023/11/17
Dataset  infrared small target detection (IRSTD)  multiple information  noise prediction  regional positioning  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：288/40  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：333/43  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8439-8453
作者:  Bai, Weiming;  Zhang, Zhipeng;  Li, Bing;  Wang, Pei;  Li, Yangxi;  Zhang, Congxuan;  Hu, Weiming
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：234/71  |  提交时间：2022/06/14
Rethinking the Competition Between Detection and ReID in Multiobject Tracking 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3182-3196
作者:  Liang, Chao;  Zhang, Zhipeng;  Zhou, Xue;  Zhu, Shuyuan;  Li, Bing;  Hu, Weiming
Adobe PDF(13361Kb)  |  收藏  |  浏览/下载：241/49  |  提交时间：2022/06/14
Toward Accurate Pixelwise Object Tracking via Attention Retrieval 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8553-8566
作者:  Zhang, Zhipeng;  Liu, Yufan;  Li, Bin;  Hu, Weiming;  Peng, Houwen
Adobe PDF(3636Kb)  |  收藏  |  浏览/下载：219/61  |  提交时间：2022/06/14