(Arxiv'19) Learning Video Representations using Contrastive Bidirectional Transformer (Arxiv'19) Learning Spatiotemporal Features via Video and Text Pair Discrimination (CVPR'20 Oral) End-to-End Learning of Visual Representations from Uncurated Instructional Videos (简称MIL-NCE) (ICCV'19 Oral) VATEX:...
machine-learning deep-learning time-series language-model time-series-analysis time-series-forecast time-series-forecasting multimodal-deep-learning cross-modality multimodal-time-series cross-modal-learning prompt-tuning large-language-models Updated Nov 3, 2024 Python whwu95 / Cap4Video Star 248...
三篇会侧重"algorithm" 介绍这个方向研究的技术路线,其中第二篇介绍基于GAN的追求公共子空间的 cross-modal 检索;第三篇则从modal抽象成更一般的domain,并且将多域扩展到单域,总结分析单/多域匹配问题,主要介绍基于 contrastive learning / instances discrimination的研究思路。
Cross-Modal LearningSynonymsSynonymsMultimodal learningDefinitionDefinitionCross-modal learning refers to any kind of learning that involves information obtained from more than one modality. In the literature the term modoi:10.1007/978-1-4419-1428-6_239Danijel Skocaj...
论文阅读:CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation 摘要 顺序推荐模型通过对历史用户 - 项目交互的分析为项目生成嵌入向量,并利用所获得的嵌入向量来预测用户偏好。尽管这些模型在揭示用户的个性化偏好方面很有效,但它们严重依赖用户 - 项目交互。然而,由于缺乏交互信息,新...
1.Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. In CVPR, 2017. 2.S. Gupta, J. Hoffman, and J. Malik. Cross modal distillationfor supervision transfer. InCVPR, 2016. 3. J. Hoffman, S. Gupta, and T. Darrell. Learning with sideinformation through modality hallucina...
This leads to an important research direction: cross-modal learning. In this paper, we introduce a method based on the content of audio and video data modalities implemented with a novel two-branch neural network is to learn the joint embeddings from a shared subspace for computing the ...
Cross-Modal Self-Taught Learning for Image Retrieval In recent years, cross-modal methods have been extensively studied in the multimedia literature. Many existing cross-modal methods rely on labeled training... X Liang,P Peng,Y Lu,... - Springer, Cham 被引量: 10发表: 2015年 Joint-Modal ...
《MICCAI2019》Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation,程序员大本营,技术文章内容聚合第一站。
如图所示,对于视频和音频模态,两者的话者表征位于不同的空间并且依赖于对应的模态;而经过离散化处理后的模态共享相同的语言学空间。模型提出了cross modal mutul learning的方法来限制模态语言空间共享。 本文中的多模态离散空间和之前多模态离散表征那篇文章特别类似。所不同的是本篇对唇语视频进行建模,而之前那个文章...