Cross-modal data fusionAttention mechanismDeep learning methods for 6D object pose estimation based on RGB and depth (RGB-D) images have been successfully applied to robotic manipulation and grasping. Among these approaches, the fusion of RGB and depth modalities is one of the most critical issues...
Cross-modal image retrieval with deep mutual information maximization modality gap caused by the inconsistent feature distributions of different modalities, which greatly influences the feature fusion and the similarity learning. ... C Gu,J Bu,X Zhou,... - 《Neurocomputing》 被引量: 0发表: 2022...
(CVPR'23) Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models (简称BIKE) 3. Cross-Modal Adapter (ICLR'23) Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning (ArXiv'22) Cross-Modal Adapter for Text-Video ...
CMX(Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers)是一种利用Transformer模型实现跨模态融合的方法,旨在提高RGB-X(其中X代表其他模态数据,如深度图、红外图像等)语义分割任务的性能。CMX通过融合来自不同模态的信息,使模型能够更全面地理解场景,从而提升分割的准确性和鲁棒性。 2. 阐述cross-...
论文地址:CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers 代码地址:https://github.com/huaaaliu/RGBX_Semantic_Segmentation 本文贡献: 提出了CMX,一种基于vison-transformer的跨模态融合框架,用于RGB-X语义分割(X为RGB的互补模态); ...
- 《An International Journal on Information Fusion》 被引量: 2发表: 2019年 Modality-Specific Cross-Modal Similarity Measurement With Recurrent Attention Network Nowadays, cross-modal retrieval plays an important role to flexibly find useful information across different modalities of data. Effectively ...
The second attention module is the gated cross-attention feature fusion module (GC-FFM) which combines interaction features for semantic prediction. We design a gated cross-attention mechanism to automatically adjust the fusion weight of cross-modal information in cross-attention by introducing a gated...
cross-modal similarity hashing 原文:Data fusion through cross-modality metric learning using similarity-sensitive hashing(CVPR 2010) 文章工作:提出一种利用多模态数据,进行相似度敏感哈希的方法,其中各个哈希函数之间用boosting的思想进行提升。 其算法如下:n为哈希函数的个数,K为每对样本权重,也即相似度矩阵每个...
modal images fusion strategy is proposed to implement SOD for robotic visual perception, namely visible-depth-thermal (VDT) SOD. Meanwhile, we build an image acquisition system under variable lighting scene and construct a novel benchmark dataset for VDT SOD (VDT-2048 dataset). Multiple modal ...
Heterogeneous data fusionDifferent imaging methods Fusion of optical and radar remote sensing[75-77] Fusion of remote sensing and other data Terrain, atmosphere, hydrology, ground observation data, geospatial big data, etc. Fusion of remote sensing data ...