语义短路 具体方法是将输入的 embedding 以 cross-attention 的方式作用于解码部分(ControlNet)。 为了调控这个泄漏的强度,引入了一个“条件率”参数。 涌现能力 这种用了公共 embedding 空间的工作中,模态间能涌现出能力倒也不奇怪。 比较有趣的是这个多轮例子: 思考题 泄漏有利于重建类任务,但是否对推理类任务有...
Cross-modality alignmentSentence embeddingsImage captioning is a challenging task in the research area of vision and language. Traditionally in a deep learning-based image captioning model, two types of input features are utilized for generating the token of the current inference step, including the ...
通过对现有modality compensation methods进行研究,本文提出了新的跨模态transformer(CMT),以联合探索模态级别的对齐模块和实例级别的对齐模块(we propose a novel Cross-Modality Transformer (CMT) to jointly explore amodality-level alignment moduleand aninstance-level alignment modulefor VI-ReID.) 这是第一篇用...
In this section, a novel cross-modality feature alignment method is proposed, which is illustrated in Fig. 3. Specifically, the deep adversarial learning strategy is employed for knowledge transfer, and the marginal modality alignment is considered. With respect to the dynamic vision and acceleration...
Rotating machine fault diagnosis using dimension reduction with linear local tangent space alignment A novel fault diagnosis method using dimension reduction with linear local tangent space alignment is proposed in this paper. With this method, the mixed-d... F Li,B Tang,R Yang - 《Measurement》...
The official code of the paper "Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate". - shikiw/Modality-Integration-Rate
论文笔记:Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Profile 最近因为个人需要看了一些 DADADA 和 DRDRDR 的文章。 这篇文章比较有意思的是:将聚类设计成目标函数,从而一方面实现经网络抽取特征在分布上的自然聚类,一方面因为特征分布的聚类自然提......
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment Guan'an Wang1,2 Tianzhu Zhang4 Jian Cheng1,2,3 Si Liu5 Yang Yang1 †Zengguang Hou1,2,3 1Institute of Automation, Chinese Academy of Sciences, Beijing, C...
(i.e., fully corresponding). Alignment-based methods like non-linear manifold alignment [10] have been shown to align multimodalities with partial cell-to-cell correspondence information but have not been extended to cross-modality inference. Machine learning has also emerged to help modality ...
作者的处理方法是这样,将红外图像的标记作为参考,设定一个Alignment threshold门限 0<CM_{IoU}<\mu .将这个作为mis aligned对齐的权重系数。作者定义为 w_{cm\_iou} 。并且分配对应的物体到可见光模态。 由于RGB和Infrared都有可能存在对应GT框丢失的情况, 红外缺乏纹理和颜色信息细节,很容易丢失对应的标注框,...