5.3 Regularized Cross-modal Hashing 在上面,我们已经考虑了散列码和类别层次结构之间的分层对应关系。在这一部分中,我们首先使用分层正则化来全面保留不同模式之间的语义相似性。然后,我们引入二值化差分惩罚来进一步增强跨模态哈希学习。 Semantic Similarity Preserving: 按照如下分层方式定义语义相似度: 我们
Supervised Hashing with Recurrent Scaling Xiyao Fu1,2, Yi Bin2, Zheng Wang2(B), Qin Wei1, and Si Chen3 1 Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, Guizhou, China fu.xiyao.gm@gmail.com, weiq@gzu.edu.cn 2 School of Computer Science and ...
In this paper, we pay attention to the specific case in which images are both labeled with a category and annotated with free text, and develop a supervised multi-modal hierarchical semantic model (smHSM), where we incorporate image classification into the joint modeling of visual and textual ...
However, most matrix factorization based cross-view hashing methods [21], [22], [28] are single-layer factorization which means they are incapable of discovering complex hierarchical and structure information in multi-view data. In addition, many existing cross-view hashing methods discard the ...
作为我们分析的产物,我们提出了一个简单但有效的跨模式菜谱检索模型,该模型在Recipe1M上实现了最先进的性能,medR为3.0,Recall@1为33.5,将性能最好的模型[13]的性能分别提高了1.0和3.5点。 三、方法 数据对: x_I是食物图像,相应的食谱是x_R=(r_{ttl},r_{ing},r_{ins}),分别是标题,成分,步骤。
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. [pdf] Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen. ECCV 2015 2013 Semi-supervised Learning for Large Scale Image Cosegmentation. [pdf] Zhengxiang Wang, Rujie Liu. ICCV 2013...
Fine-grained Multi-Modal Self-Supervised Learning. BMVC 2021[paper] Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences. CVPR Workshops 2020[paper] Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. ...
IJCAI 2019【图神经网络(GNN)】相关论文Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification154阅读 文档大小:1.19M 9页 天马行空上传于2019-08-22 格式:PDF IJCAI 2019【图神经网络(GNN)】相关论文Graph Convolutional Network Hashing for Cross-Modal Retrieval 热度: 【NeurIPS 2019...
典型的U-Net结构【PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space-2017-6-7-CVPR \ U-net: Convolutional networks for biomedical image segmentation-2015-3-MICCAI】虽能以从粗到细的方式有效处理大型点云,但其编码器和解码器通过跳跃连接的紧密耦合限制了灵活性,具体而言:...
CVPR 2015 SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. [pdf] Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen. ECCV 2015 2013Semi-supervised Learning for Large Scale Image Cosegmentation. [pdf] Zhengxiang Wang, Rujie Liu. ...