Second, we propose the Cross-Modality Contrastive Learning (CMCL) scheme, a novel approach to address the cross-modality discrepancies and enhance the quality of image embeddings across both modalities. CMCL incorporates intra-modality and inter-modality contrastive loss components, designed to improve...
论文标题:CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations作者团队:来自于李沐大神的亚马逊团队,但是这篇文章是Yi神做的,简单有效! 论文标题及作者信息 解决问题: 对于跨模态对比学习来说,类似于CLIP、ALIGN等模型,更多的关注的是inter-modaliy之间的alignment。但是却忽略了intra-mod...
(2024). Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features. In: Linguraru, M.G., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. MICCAI 2024. Lecture Notes in Computer Science, vol 15003. Springer, Cham....
It does this via multiple contrastive losses which capture inter-modality and intra-modality correspondences. XMC-GAN uses an attentional self-modulation generator, which enforces strong text-image correspondence, and a contrastive discriminator, which acts as a critic as well as a feature encoder ...
"application", 介绍相关概念与研究背景;第二、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 ...
modality is used. A majority of pervasive computing applications, however, exploit data from a range of different sensor modalities. While existing CL methods are limited to learning from one or two data sources, we propose COCOA (Cross mOdality COntrastive leArning), a self-supervised model that...
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...
It does this via multiple contrastive losses which capture inter-modality and intra-modality correspondences. XMC-GAN uses an attentional self-modulation generator, which enforces strong text-image correspondence, and a contrastive discriminator, which acts as a critic as well as a feature encoder ...
论文标题:Cross-domain Contrastive Learning for Unsupervised Domain Adaptation论文作者:Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang论文来源:aRxiv 2022论文地址:download 论文代码:download Preface域适应(Domain Adaption),也可称为域对抗(Domain Adversarial),是迁移学习中一个...
(2025). CCPL: Cross-Modal Contrastive Protein Learning. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15327. Springer, Cham. https://doi.org/10.1007/978-3-...