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
句子的表示是最后一层transformer的平均值。 图2a显示了我们基于transformer的句子编码器的示意图,TR(.,\Theta),其中\Theta是模型参数,每个食谱组件的参数都不同。因此,我们提取标题嵌入如下: 图2:(a) Transformer Encoder, TR:给定一个配方句子,我们的模型使用Transformer编码器将其编码为固定长度的表示。(b)分层Tr...
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 ...
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 ...
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...
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding. CVPR 2022[paper][code] Learnable PINs: Cross-Modal Embeddings for Person Identity. ECCV 2018[paper] Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text. ...
(Wang et al.2009), supervised Hierarchical Dirichlet Processes Zhang et al. (2013), Storkey and Dai (2014), and maximum margin supervised topic model,MedLDA(Zhu et al.2012a). These models have shown to improve document classification performance (Zhu et al.2013a; Jiang et al.2012; Zhu ...
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. ...