DO WE STILL NEED IMAGENET PRE-TRAINING IN REMOTE SENSING SCENE CLASSIFICATION?

6 citations as recorded by crossref.

1. A Robust Feature Downsampling Module for Remote-Sensing Visual Tasks W. Lu et al. 10.1109/TGRS.2023.3282048
2. Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection H. Chen et al. 10.1109/TGRS.2022.3203769
3. Heterogeneous Prototype Distillation With Support-Query Correlative Guidance for Few-Shot Remote Sensing Scene Classification Y. Zhuang et al. 10.1109/TGRS.2024.3409637
4. In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries A. Ghanbarzadeh & H. Soleimani 10.1109/ACCESS.2024.3510779
5. Generic Knowledge Boosted Pretraining for Remote Sensing Images Z. Huang et al. 10.1109/TGRS.2024.3354031
6. Deep Learning for Remote Sensing Image Scene Classification: A Review and Meta-Analysis A. Thapa et al. 10.3390/rs15194804