「论文阅读(简)」Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
论文名称：Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering 作者：Jie Xu; Yazhou Ren; Huayi Tang; Xiaorong Pu; Xiaofeng Zhu; Ming Zeng; Lifang He 年份：2021-10 期刊或会议：2021 IEEE/CVF International Conference on Computer Vision (ICCV) 代码：https://github.com/SubmissionsIn/Multi-VAE 原文摘要 Multi-view clustering, a long-standing and important research problem, focuses on mining complementary information from diverse views. However, existing works...
「论文阅读(简)」Reverse Graph Learning for Graph Neural Network
论文名称：Reverse Graph Learning for Graph Neural Network 作者：Liang Peng; Rongyao Hu; Fei Kong; Jiangzhang Gan; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 时间：2022-4 期刊：IEEE Transactions on Neural Networks and Learning Systems 原文摘要 Graph neural networks (GNNs) conduct feature learning by taking into account the local structure preservation of the data to produce discriminative features, but need to address the following issues, i.e., 1) the initial graph containing faulty and missing edges often...
「论文阅读」Multi-view clustering A survey
论文名称：Multi-view clustering: A survey 作者：Yan Yang; Hao Wang 时间：2018 期刊或会议：Big Data Mining and...
「论文阅读」Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity
论文名称：Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity 作者：Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He 时间：2022 期刊或会议：AAAI2022 代码：https://github.com/SubmissionsIn/DIMVC Origin Abstract Incomplete multi-view clustering (IMVC) is an important unsupervised approach to group the multi-view data containing missing data in some views. Previous IMVC methods suffer from the following issues: (1) the inaccurate imputation or padding for missing data...
「论文阅读」Multi-level Feature Learning for Contrastive Multi-view Clustering
论文名称：Multi-Level Feature Learning for Contrastive Multi-View Clustering 作者：Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He 时间：2022 期刊或会议：Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 代码：https://github.com/SubmissionsIn/MFLVC Origin Abstract Multi-view clustering can explore common semantics from multiple views and has attracted increasing attention. However, existing works punish multiple objectives in the same feature space, where...
「论文阅读」Visual Object Tracking using Adaptive Correlation Filters
论文名称：Visual Object Tracking using Adaptive Correlation Filters 作者：David S. Bolme; J. Ross Beveridge; Bruce A. Draper; Yui Man Lui 时间：2010-7 期刊：CVPR2010 Origin Abstract Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-of-the-art techniques. The oldest and simplest correlation filters use simple templates and generally fail when applied to tracking. More modern approaches...
「编译原理」编译原理习题类型
编译阶段 给出可能出错的代码，或者出错的方式，询问是在编译的哪个阶段会发生报错 比如： 12345// c代码int t=0,2ddd; // 1. 变量名命名错误t = 1+; // 2. 运算符使用错误int a[3];a[3] = 10;// 3....
「数据结构」数据结构复习
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「论文阅读」Universal Weighting Metric Learning for Cross-Modal Retrieval
Universal Weighting Metric Learning for Cross-Modal Retrieval 论文名称：Universal Weighting Metric Learning for Cross-Modal Retrieval 作者：Jiwei Wei; Yang Yang; Xing Xu; Xiaofeng Zhu;Heng Tao Shen 时间：2021-6 期刊：IEEE Transactions on Pattern Analysis and Machine Intelligence Origin Abstract Cross-modal retrieval has recently attracted growing attention, which aims to match instances captured from different modalities. The performance of cross-modal retrieval methods heavily relies on the...
「论文阅读」Learning Temporal-Correlated and Channel-Decorrelated Siamese Networks for Visual Tracking
Learning Temporal-Correlated and Channel-Decorrelated Siamese Networks for Visual Tracking 论文名称：Learning Temporal-Correlated and Channel-Decorrelated Siamese Networks for Visual Tracking 作者：Mao Xi; Wengang Zhou; Ning Wang; Houqiang Li 期刊：IEEE Transactions on Multimedia 时间：2021-6-08 原文摘要 Recently, Siamese network based trackers have attracted growing popularity in visual tracking, which tackle the tracking by template matching between the initial template and successive search regions....