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Found 3 papers, 3 papers with code
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
However, observing the classification results of existing methods, we found that boundary patches corresponding to the pixels which are located at the boundary of the objects in the hyperspectral images, are hard to classify.
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification
In addition, it adopts a transformer based cross-attention learning module to learn the set-level sample relations and acquire the attention from query samples to support samples.
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image Scenes
To address the zero-shot image scene classification, the cross-modal feature alignment methods have been proposed in recent years.
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