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Found 3 papers, 1 papers with code
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
Directly fine-tuning VLMs for RS-FGSC often encounters the challenge of overfitting the seen classes, resulting in suboptimal generalization to unseen classes, which highlights the difficulty in differentiating complex backgrounds and capturing distinct ship features.
A Supervised Segmentation Network for Hyperspectral Image Classification
To explore the spatial information for HSI classification, pixels with its adjacent pixels are usually directly cropped from hyperspectral data to form HSI cubes in CNN-based methods.
Exploring Models and Data for Remote Sensing Image Caption Generation
Finally, a comprehensive review is presented on the proposed data set to fully advance the task of remote sensing caption.
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