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,我们已经考虑了...
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...
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. ...
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. ...
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...
Deep hashing is effective and efficient for large-scale image retrieval. Most of existing deep hashing methods train a single hash table by utilizing the o
(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 ...
[pdf] Jifeng Dai, Kaiming He, Jian Sun. 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
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. ...
cross-modal understanding, and predicting the most suitable answer. The two major factors that have the potential to enhance the effectiveness of VQA are the model architecture and the data. VQA is a data-intensive task that requires substantial amounts of labelled training data. A good dataset ...