在大多数感觉之间都或多或少存在相互影响的线路,这被称为交叉感觉(cross modality)。举例来说,控制我们眼球运动的肌 …www.guokr.com|基于5个网页 2. 跨越样式 ...式机、手机、平板电脑、电视屏幕上都可以搜索,(b)跨越样式(cross modality):通过文字、语音、图片都可以搜索,(…blog.sina.com.cn|基于3个网页...
本文提出一种Cross-Modality Fusion Transformer(CFT)模块,通过Transformer的能力充分挖掘全局上下文信息。Attention的注意力机制可以同时对模态内和模态间进行特征融合,并提取可见光和红外之间的潜在联系。 模型分析(创新点) 很清晰了,不用多讲了,主要是本文是首次将Transformer运用到多光谱融合目标检测上。实验分析...
但是,有很大一部分的intra-class的距离甚至大于inter-class的距离,所以提出了cross-modality top-ranking constraint。 大致思想就是:对于每一个positive的跨模态图像对,它们之间的距离要小于某一模态的图像与另一模态的所有图像的距离的最小值。 同时,还提出了intra-modality top-ranking constraint。就是模态内的距离...
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。
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
More importantly, by leveraging the self attention of the transformer, the network can naturally carry out simultaneous intra-modality and inter-modality fusion, and robustly capture the latent interactions between RGB and Thermal domains, thereby significantly improving the performance of multispectral ...
We present a cross-modality generation framework that learns to generate translated modalities from given modalities in MR images. Our proposed method performs Image Modality Translation (abbreviated as IMT) by means of a deep learning model that leverag
【论文泛读】Joint Visual-Textual Sentiment Analysis Based on Cross-Modality Attention Mechanism 1.介绍 联合视觉文本情感分析具有挑战性,因为图像和文本可能会传递不一致的情感。图 1 显示了从 Flickr1 和 Getty2 抓取的图像文本对的几个示例。在示例(a)中,文本带有积极的情绪,而相应的图像是中性的;...
The proposed objective function consists of two reconstruction error terms for both modalities and a Maximum Mean Discrepancy (MMD) term that measures the cross-modality discrepancy. Optimization of the reconstruction terms and the MMD term yields a compact and modality-adaptive dictionary pair. We ...
matching the resolution that is acquired using high-numerical-aperture objectives. We also demonstrate cross-modality super-resolution, transforming confocal microscopy images to match the resolution acquired with a stimulated emission depletion (STED) microscope. We further demonstrate that total internal re...