Contrastive learning based remote sensing text-to-image generation for few-shot remote sensing image captioning
In few-shot scenarios, the lack of caption-labeled samples and prior knowledge leads to insufficient training and performance degradation of remote sensing image captioning (RC) models. We propose an iterative remote sensing image captioning method named IRIC to promote RC model performance iteratio...
Saved in:
Main Authors: | Haonan Zhou, Hang Tang, Xiangchun Liu, Xiaoxiao Shi, Lurui Xia |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2526102 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic–Spatial Feature Fusion With Dynamic Graph Refinement for Remote Sensing Image Captioning
by: Maofu Liu, et al.
Published: (2025-01-01) -
Restricted supervised Cascade Information Network for remote sensing change captioning with serial sentences
by: Kunping Yang, et al.
Published: (2025-08-01) -
A Cross-Spatial Differential Localization Network for Remote Sensing Change Captioning
by: Ruijie Wu, et al.
Published: (2025-07-01) -
Techniques for image processing and classification in remote sensing /
by: Schowengerdt, Robert A.
Published: (1983) -
Remote sensing and image interpretation /
by: Lillesand, Thomas M.
Published: (2015)