本文在总结贡献点时,提出了三个:1统一模型可以覆盖多个多模态任务的框架;2.提出了一种多模态共享离散语言空间的方法,这里把学到的表征叫做 modality-agnostic linguistic representation;3. 本模型经过表征学习和解耦之后可以进行音视频信号的转换和操纵。 本文提出的具体方法参考下面这张图: 首先,模型针对音频和视频模态...
Cross-Modality Encoder是LXMERT模型中的一个编码器层,用于实现视觉和语言之间的交叉表示学习。它由多个子层组成,包括自注意力子层和交叉注意力子层。通过这些子层的组合,Cross-Modality Encoder可以从输入中提取语言表示、图像表示和交叉模态表示。 交叉模态编码器每个交叉模态层由两个自关注子层、一个双向交 叉关注子...
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...
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...
To solve this problem, we propose a cross-modality consistency learning network, which jointly considers crossmodal learning and distillation learning. It consists of two associated components: the feature adaptation network (FANet) and the modality learning module (MLM). The FANet combines global and...
This paper presents a novel robot behavior learning method based on Adaptive Resonance Theory (ART) neural network and cross-modality learning. We introduce the concept of classification learning and propose a new representation of observed behavior. Compared with previous robot behavior learning methods...
Domain adaptation is an important task to enable learning when labels are scarce. While most works focus only on the image modality, there are many important multi-modal datasets. In order to leverage multi-modality for domain adaptation, we propose cross-modal learning, where we enforce consisten...
Introduction (1)Motivation: 解决跨模态reid的方法主要有两类:模态共享特征学习(modality-shared feature learning)、模态特定特征补偿(modality-specific feature compensation)。模态共享特征学习旨在将不
Fig. 3: Use of cross-modality deep learning in bright-field holography to fuse the volumetric imaging capability of holography with the speckle- and artifact-free image contrast performance of incoherent bright-field microscopy. The pollen sample is dispersed in 3D throughout a bulk volume of PDMS...
1.intra-modality:相同模态的图片由于姿态、光照的等原因,同一个人的同一个模态差异性很大,这个差异有的甚至会大于不同的人在不同模态的差异。 2.cross-modality:同一人的不同模态的图片,由于模态不同,特征分布不同,所以差异较大。 要做好跨模态re-id,其中一部分任务就是要减小intra-modality和cross-modality。