RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision

RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision

Zero-shot remote sensing scene classification aims to solve the scene classification problem on unseen categories and has attracted numerous research attention in the remote sensing field. Existing methods mostly use shallow networks for visual and semantic feature learning, and the semantic encoder...

Full description

Bibliographic Details
Main Authors: Xiang Li, Congcong Wen, Yuan Hu, Nan Zhou
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Remote sensing scene classification
Vision-language model
CLIP
Pseudo labeling
Curriculum learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223003217

Internet

http://www.sciencedirect.com/science/article/pii/S1569843223003217

Similar Items