Deep cross-modal retrieval for remote sensing image and audio. In: Proceedings of the 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 2018. 1--7. Google Scholar [57] Avitabile V, Herold M, Heuvelink G B M. An integrated pan?tropical biomass map using multiple ...
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 ...
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation 来自 arXiv.org 喜欢 0 阅读量: 1 作者:C Liu,C Albrecht,Y Wang,XX Zhu 摘要: We study the potential of noisy labels y to pretrain semantic segmentation models in a multi-modal learning framework for ...
pretrained-modelscross-modalmultimodalcross-modal-generalization UpdatedSep 30, 2024 Python yisun98/SOLC Star170 Code Issues Pull requests 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-sourcede...
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. Generative self-training for cross-domain unsupervised ta...
2023, Sensors Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images 2022, IEEE Transactions on Geoscience and Remote Sensing View all citing articles on Scopus1 Code: https://github.com/frhf/cross-modal-distillation-reidentification.View full text ...
Object Detection in Synthetic Aperture Radar (SAR) images holds significant potential for diverse remote sensing applications. Nevertheless, the substantial cost associated with object-level annotation poses a formidable challenge in SAR object detection. While cross-modal learning offers a promising solution...
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing (Fisher Criterion and Structure Preservation-Based Adversarial Network for Cross-Modal Hashing),它使用Fisher准则,构建类内散度矩阵以及类间散度矩阵,将判别性特征... G Mikriukov,M Ravanbakhsh,B Demir - arXiv e-prints 被引量:...
(e.g., surgery, ruins rescue, and submarine survey), single-modal sensing systems of robotics have difficulty in executing complex tasks, and is even prone to harm to devices and users4,5. With crossmodal sensing and processing capabilities, intelligent robots could access comprehensive object ...
This paper presents a novel and efficient multitask learning framework for image translation and saliency detection from remote sensing images, which mainl... Y Lian,X Shi,SJ Hua - 《Visual Computer》 被引量: 0发表: 2024年 A Cross-Modal Attention and Multi-task Learning Based Approach for ...