转为二值: 5.2 Hierarchical Discriminative Learning 同时引入K个分层的多重分类任务: 特别地,我们将第i个实例的K个分层图像哈希表示输入给K个多层感知器,如下所示: 最后,采用负对数似然损失对K个分层判别分类: 式中ρk为第k层的置信度,log(·)为元素对数函数。 5.3 Regularized Cross-modal Hashing 在上面,我...
此外,由于这种损失,来自不同配方组件的嵌入彼此对齐,这允许我们在测试时恢复(或产生幻觉)它们。 我们的方法使用简单但功能强大的模型组件对食谱和图像进行编码,并通过使用配对和非配对数据进行优化,这得益于新的自我监督食谱损失。我们的方法在Recipe1M(社区中最流行的数据集之一)上实现了最先进的结果。我们进行消融研究...
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. ...
Hu D, Nie F, Li X (2019) Deep binary reconstruction for cross-modal hashing. IEEE Trans Multimed 21(4):973–985 Article Google Scholar Huang D, Shan C, Ardabilian M, Wang Y, Chen L (2011) Local binary patterns and its application to facial image analysis: A survey. IEEE Trans on...
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning. [pdf] Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li. ICCV 2021 Iterative Label Cleaning for Transductive and Semi-Supervised Few-...
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 ...
IJCAI 2019【图神经网络(GNN)】相关论文Graph Convolutional Network Hashing for Cross-Modal Retrieval 热度: ICCV 2019图神经网络(GNN)+CV-Graph Convolutional Networks for Temporal Action Localization 热度: 相关推荐 HierarchicalGraphConvolutionalNetworks forSemi-supervisedNodeClassification FenyuHu 1,2...
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. ...
(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 ...
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. ...