Remote sensingPurposeThe purpose of this paper is to study the road segmentation problem of cross-modal remote sensing images.Design/methodology/approachFirst, the baseline network based on the U-net is trained under a large-scale dataset of remote sensing imagery. Then, the cross-modal training ...
Historical land use maps Remote sensing images Deep learning Cross-modal change detection 1. Introduction Monitoring land use changes, particularly in land for construction, is commonly regarded as a key indicator of urban development (Huang et al., 2020). Urban sprawl and population growth often ...
Object Detection in Multispectral Remote Sensing Images Based on Cross-Modal Cross-Attention In complex environments a single visible image is not good enough to perceive the environment, this paper proposes a novel dual-stream real-time detector d... P Zhao,X Ye,Z Du - 《Sensors》 被引量:...
pretrained-modelscross-modalmultimodalcross-modal-generalization UpdatedDec 27, 2024 Python Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类 pytorchremote-sensingsegmentationcross-modalmulti-modalmulti-sourcedeeplabv3land-use-classificationoa-kappasar-optical...
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval. OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. ...
Double Augmentation: A Modal Transforming Method for Ship Detection in Remote Sensing Imagery Ship detection in remote sensing images plays an important role in maritime surveillance. Recently, convolution neural network (CNN)-based methods have ach... F Mou,Z Fan,C Jiang,... - 《Remote Sensing...
It is one of the most challenging tasks among all multi-modal registration settings, as the difference between these two modalities is much more substantial than, e.g., the difference between T1 and T2 MR or the difference between MR and CT. It remains difficult for both conventional and ...
Cross-Modal Manifold Learning for Cross-modal Retrieval Sailesh Conjeti,Anees Kazi,Nassir Navab,... - 《IEEE Transactions on Image Processing》 - 2016 - 被引量: 1 An End-to-End Framework Based on Vision-Language...
To enhance diagnostic support for fundus diseases, we propose a cross-dimensional modal fusion network (CMFNet) using both 3D volume data and 2D projection maps for accurate OCTA vessel segmentation. Firstly, we use different encoders to generate 2D projection features and 3D volume data features ...
《Learning Cross-modal Embeddings for Cooking Recipes and Food Images》阅读笔记,程序员大本营,技术文章内容聚合第一站。