CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Active Disparity Sampling for Stereo Matching With Adjoint Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 354-365
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Tian, Kun;  Ni, Bolin;  Xiang, Shiming
收藏  |  浏览/下载:72/0  |  提交时间:2024/02/21
Stereo matching  domain generalization  active sampling  adjoint network  Bayesian optimization  
Reducing Vision-Answer Biases for Multiple-Choice VQA 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4621-4634
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载:84/2  |  提交时间:2023/11/17
Multiple-choice VQA  vision-answer bias  causal intervention  counterfactual interaction learning  
Progressive Feature Learning for Facade Parsing With Occlusions 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2081-2093
作者:  Ma, Wenguang;  Xu, Shibiao;  Ma, Wei;  Zhang, Xiaopeng;  Zha, Hongbin
收藏  |  浏览/下载:234/0  |  提交时间:2022/06/06
Uncertainty  Bayes methods  Convolutional neural networks  Buildings  Training  Context modeling  Representation learning  Facade parsing  occlusion  feature representation  manmade structure  
Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2656-2668
作者:  Tan, Huibin;  Zhang, Xiang;  Zhang, Zhipeng;  Lan, Long;  Zhang, Wenju;  Luo, Zhigang
Adobe PDF(2898Kb)  |  收藏  |  浏览/下载:209/59  |  提交时间:2021/03/29
Target tracking  Visualization  Feature extraction  Real-time systems  Oceans  Convolution  Task analysis  Siamese trackers  non-local attention  supervisedly attentive  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载:372/77  |  提交时间:2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:  Zhang, Yuyang;  Xu, Shibiao;  Wu, Baoyuan;  Shi, Jian;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(8221Kb)  |  收藏  |  浏览/下载:333/73  |  提交时间:2020/08/03
Estimation  Training  Feature extraction  Geometry  Computer vision  Cameras  Unsupervised learning  Unsupervised learning  DenseDepthNet  multi-view geometry constraint  depth consistency