LVM-StARS: Large Vision Model Soft Adaption for Remote Sensing Scene Classification

Recently, both large language models and large vision models (LVM) have gained significant attention. Trained on large-scale datasets, these large models have showcased remarkable capabilities across various research domains. To enhance the accuracy of remote sensing (RS) scene classification, LVM-b...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE geoscience and remote sensing letters 2024-01, Vol.21, p.1-1
Hauptverfasser:	Yang, Bohan, Chen, Yushi, Ghamisi, Pedram
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptation models Classification Datasets Freezing Image enhancement Large language models large vision models (LVM) Methods parameter efficient transfer learning (PETL) Parameters Redundancy Remote sensing remote sensing (RS) scene classification Scene classification Stars State-of-the-art reviews Task analysis Task complexity Transformers Tuning Vision Transformers (ViT)
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!